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David Hsu
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2020 – today
- 2024
- [c124]Shaojun Cai
, Ashwin Ram
Navigating Real-World Challenges: A Quadruped Robot Guiding System for Visually Impaired People in Diverse Environments. CHI 2024: 44:1-44:18 - [c123]Nuwan Janaka
Demonstrating PANDALens: Enhancing Daily Activity Documentation with AI-assisted In-Context Writing on OHMD. CHI Extended Abstracts 2024: 397:1-397:7 - [c122]Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee:
On the Empirical Complexity of Reasoning and Planning in LLMs. EMNLP (Findings) 2024: 2897-2936 - [c121]Joel Loo, David Hsu:
Scene Action Maps: Behavioural Maps for Navigation without Metric Information. ICRA 2024: 6354-6360 - [c120]Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman:
A Deep Learning Framework To Characterize Noisy Labels In Epileptogenic Zone Localization Using Functional Connectivity. ISBI 2024: 1-5 - [c119]Nuwan Janaka
Demonstrating TOM: A Development Platform for Wearable Intelligent Assistants in Daily Activities. MobileHCI (Companion) 2024: 23:1-23:6 - [i64]Connie Jiang, Yiqing Xu, David Hsu:
LLMs for Robotic Object Disambiguation. CoRR abs/2401.03388 (2024) - [i63]Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee:
On the Empirical Complexity of Reasoning and Planning in LLMs. CoRR abs/2404.11041 (2024) - [i62]Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, David Hsu:
Differentiable Particles for General-Purpose Deformable Object Manipulation. CoRR abs/2405.01044 (2024) - [i61]Joel Loo, David Hsu:
Scene Action Maps: Behavioural Maps for Navigation without Metric Information. CoRR abs/2405.07948 (2024) - [i60]Yunfan Lu, Yuchen Ma, David Hsu, Caicai Pan:
Neural Randomized Planning for Whole Body Robot Motion. CoRR abs/2405.11317 (2024) - [i59]Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu:
"Set It Up!": Functional Object Arrangement with Compositional Generative Models. CoRR abs/2405.11928 (2024) - [i58]Joel Loo, Zhanxin Wu, David Hsu:
Open Scene Graphs for Open World Object-Goal Navigation. CoRR abs/2407.02473 (2024) - [i57]Wei Gao, Bo Ai, Joel Loo, Vinay, David Hsu:
IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale. CoRR abs/2407.03122 (2024) - [i56]Nuwan Janaka, Runze Cai, Shengdong Zhao, David Hsu:
Demonstrating PilotAR: A Tool to Assist Wizard-of-Oz Pilot Studies with OHMD. CoRR abs/2407.12388 (2024) - [i55]Nuwan Janaka, Shengdong Zhao, David Hsu, Sherisse Tan Jing Wen, Chun-Keat Koh:
TOM: A Development Platform For Wearable Intelligent Assistants. CoRR abs/2407.15523 (2024) - [i54]Yuhong Deng, David Hsu:
General-purpose Clothes Manipulation with Semantic Keypoints. CoRR abs/2408.08160 (2024) - [i53]Anxing Xiao, Nuwan Janaka, Tianrun Hu, Anshul Gupta, Kaixin Li, Cunjun Yu, David Hsu:
Robi Butler: Remote Multimodal Interactions with Household Robot Assistant. CoRR abs/2409.20548 (2024) - 2023
- [j43]Naresh Nandakumar, David Hsu
DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity. IEEE Trans. Biomed. Eng. 70(1): 216-227 (2023) - [j42]Mikko Lauri
Partially Observable Markov Decision Processes in Robotics: A Survey. IEEE Trans. Robotics 39(1): 21-40 (2023) - [j41]Panpan Cai
Closing the Planning-Learning Loop With Application to Autonomous Driving. IEEE Trans. Robotics 39(2): 998-1011 (2023) - [c118]Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR 2023 - [c117]Zirui Zhao, Wee Sun Lee, David Hsu:
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement. ICRA 2023: 11546-11553 - [c116]Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman:
A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network. ISBI 2023: 1-5 - [c115]Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu:
What Truly Matters in Trajectory Prediction for Autonomous Driving? NeurIPS 2023 - [c114]Zirui Zhao, Wee Sun Lee, David Hsu:
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. NeurIPS 2023 - [i52]Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu:
COACH: Cooperative Robot Teaching. CoRR abs/2302.06199 (2023) - [i51]Yiyuan Lee, Katie Lee, Panpan Cai, David Hsu, Lydia E. Kavraki
The Planner Optimization Problem: Formulations and Frameworks. CoRR abs/2303.06768 (2023) - [i50]Zirui Zhao, Wee Sun Lee, David Hsu:
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. CoRR abs/2305.14078 (2023) - [i49]Haoran Wu, Tran Phong, Cunjun Yu, Panpan Cai, Sifa Zheng
What Truly Matters in Trajectory Prediction for Autonomous Driving? CoRR abs/2306.15136 (2023) - [i48]Yiqing Xu, Finale Doshi-Velez, David Hsu:
On the Effective Horizon of Inverse Reinforcement Learning. CoRR abs/2307.06541 (2023) - [i47]Yiqing Xu, David Hsu:
How to Tidy Up a Table: Fusing Visual and Semantic Commonsense Reasoning for Robotic Tasks with Vague Objectives. CoRR abs/2307.11319 (2023) - [i46]Zhimin Hou, Cunjun Yu, David Hsu, Haoyong Yu:
TeachingBot: Robot Teacher for Human Handwriting. CoRR abs/2309.11848 (2023) - [i45]Bo Ai, Zhanxin Wu, David Hsu:
Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation. CoRR abs/2310.15020 (2023) - [i44]Siwei Chen, Anxing Xiao, David Hsu:
LLM-State: Expandable State Representation for Long-horizon Task Planning in the Open World. CoRR abs/2311.17406 (2023) - 2022
- [j40]Yuanfu Luo
GAMMA: A General Agent Motion Model for Autonomous Driving. IEEE Robotics Autom. Lett. 7(2): 3499-3506 (2022) - [c113]Mohamad Hosein Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRL 2022: 199-211 - [c112]Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu:
COACH: Cooperative Robot Teaching. CoRL 2022: 1092-1103 - [c111]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA 2022: 8266-8273 - [c110]Bo Ai
Deep Visual Navigation under Partial Observability. ICRA 2022: 9439-9446 - [c109]Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman:
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG. MIDL 2022: 261-281 - [c108]Yiqing Xu, Wei Gao, David Hsu:
Receding Horizon Inverse Reinforcement Learning. NeurIPS 2022 - [i43]Wei Gao, David Hsu, Wee Sun Lee:
Context-Hierarchy Inverse Reinforcement Learning. CoRR abs/2202.12597 (2022) - [i42]Yiqing Xu, Wei Gao, David Hsu:
Receding Horizon Inverse Reinforcement Learning. CoRR abs/2206.04477 (2022) - [i41]Mikko Lauri, David Hsu, Joni Pajarinen:
Partially Observable Markov Decision Processes in Robotics: A Survey. CoRR abs/2209.10342 (2022) - [i40]Mohamad H. Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRR abs/2209.11422 (2022) - [i39]Zirui Zhao, Wee Sun Lee, David Hsu:
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. CoRR abs/2210.00215 (2022) - [i38]Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR abs/2210.13066 (2022) - 2021
- [j39]Panpan Cai, Yuanfu Luo
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty. Int. J. Robotics Res. 40(2-3) (2021) - [c107]Danielle Currey
Cross-site Epileptic Seizure Detection Using Convolutional Neural Networks. CISS 2021: 1-6 - [c106]Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. CVPR 2021: 2815-2825 - [c105]Yuanfu Luo, Malika Meghjani, Qi Heng Ho, David Hsu, Daniela Rus:
Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios. ICRA 2021: 5261-5267 - [c104]Hanbo Zhang
Hindsight Trust Region Policy Optimization. IJCAI 2021: 3335-3341 - [c103]Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. Robotics: Science and Systems 2021 - [c102]Yiyuan Lee
MAGIC: Learning Macro-Actions for Online POMDP Planning. Robotics: Science and Systems 2021 - [c101]Hanbo Zhang
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. Robotics: Science and Systems 2021 - [e6]Aleksandra Faust, David Hsu, Gerhard Neumann:
Conference on Robot Learning, 8-11 November 2021, London, UK. Proceedings of Machine Learning Research 164, PMLR 2021 [contents] - [i37]Panpan Cai, David Hsu:
Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd. CoRR abs/2101.03834 (2021) - [i36]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR abs/2104.12149 (2021) - [i35]Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. CoRR abs/2105.07593 (2021) - [i34]Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. CoRR abs/2107.08865 (2021) - [i33]Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng:
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. CoRR abs/2108.11092 (2021) - [i32]Bo Ai, Wei Gao, Vinay, David Hsu:
End-to-End Partially Observable Visual Navigation in a Diverse Environment. CoRR abs/2109.07752 (2021) - 2020
- [j38]Mohit Shridhar
INGRESS: Interactive visual grounding of referring expressions. Int. J. Robotics Res. 39(2-3) (2020) - [j37]Harold Soh
Multi-task trust transfer for human-robot interaction. Int. J. Robotics Res. 39(2-3) (2020) - [j36]Fabio Bonsignorio, David Hsu, Matthew Johnson-Roberson, Jens Kober
Deep Learning and Machine Learning in Robotics [From the Guest Editors]. IEEE Robotics Autom. Mag. 27(2): 20-21 (2020) - [j35]Min Chen, Stefanos Nikolaidis
Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning. ACM Trans. Hum. Robot Interact. 9(2): 9:1-9:23 (2020) - [c100]Xiao Ma, Péter Karkus
Particle Filter Recurrent Neural Networks. AAAI 2020: 5101-5108 - [c99]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Reinforcement Learning for Complex Observations. CoRL 2020: 959-972 - [c98]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR 2020 - [c97]Panpan Cai, Yiyuan Lee
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. ICRA 2020: 4023-4029 - [i31]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR abs/2002.09884 (2020) - [i30]Siwei Chen, Xiao Ma, David Hsu:
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. CoRR abs/2007.06207 (2020) - [i29]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR abs/2008.02430 (2020) - [i28]Yiyuan Lee, Panpan Cai, David Hsu:
MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic. CoRR abs/2011.03813 (2020) - [i27]Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu:
Simulating Autonomous Driving in Massive Mixed Urban Traffic. CoRR abs/2011.05767 (2020)
2010 – 2019
- 2019
- [j34]Yuanfu Luo
Importance sampling for online planning under uncertainty. Int. J. Robotics Res. 38(2-3) (2019) - [c96]Yaqi Xie, Indu P. Bodala, Desmond C. Ong
Robot Capability and Intention in Trust-Based Decisions Across Tasks. HRI 2019: 39-47 - [c95]Neha P. Garg, David Hsu, Wee Sun Lee:
Learning To Grasp Under Uncertainty Using POMDPs. ICRA 2019: 2751-2757 - [c94]Robert Pinsler, Péter Karkus
Factored Contextual Policy Search with Bayesian optimization. ICRA 2019: 7242-7248 - [c93]Harold Soh, Pan Shu, Min Chen, David Hsu:
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. IJCAI 2019: 6226-6230 - [c92]Malika Meghjani
Context and Intention Aware Planning for Urban Driving. IROS 2019: 2891-2898 - [c91]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. Robotics: Science and Systems 2019 - [c90]Neha Priyadarshini Garg, David Hsu, Wee Sun Lee:
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. Robotics: Science and Systems 2019 - [c89]Péter Karkus
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems 2019 - [i26]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1904.11761 (2019) - [i25]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. CoRR abs/1905.11602 (2019) - [i24]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR abs/1905.12197 (2019) - [i23]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. CoRR abs/1905.12885 (2019) - [i22]Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh:
Robot Capability and Intention in Trust-based Decisions across Tasks. CoRR abs/1909.05329 (2019) - [i21]Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu:
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. CoRR abs/1911.04074 (2019) - 2018
- [j33]Yuanfu Luo
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians. IEEE Robotics Autom. Lett. 3(4): 3418-3425 (2018) - [c88]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks with Application to Visual Localization. CoRL 2018: 169-178 - [c87]Ziquan Lan, David Hsu, Gim Hee Lee:
Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition. CVPR 2018: 4588-4596 - [c86]Pan Shu, Min Chen, Indu P. Bodala
Human Trust in Robot Capabilities across Tasks. HRI (Companion) 2018: 241-242 - [c85]Min Chen
Planning with Trust for Human-Robot Collaboration. HRI 2018: 307-315 - [c84]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. Robotics: Science and Systems 2018 - [c83]Jue Kun Li, Wee Sun Lee, David Hsu:
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties. Robotics: Science and Systems 2018 - [c82]Mohit Shridhar, David Hsu:
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. Robotics: Science and Systems 2018 - [c81]Harold Soh, Pan Shu, Min Chen
The Transfer of Human Trust in Robot Capabilities across Tasks. Robotics: Science and Systems 2018 - [c80]Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. WAFR 2018: 921-938 - [i20]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. CoRR abs/1801.04099 (2018) - [i19]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. CoRR abs/1802.06215 (2018) - [i18]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR abs/1805.08975 (2018) - [i17]Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha:
Autonomous Driving among Many Pedestrians: Models and Algorithms. CoRR abs/1805.11833 (2018) - [i16]Mohit Shridhar, David Hsu:
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. CoRR abs/1806.03831 (2018) - [i15]Harold Soh, Pan Shu, Min Chen, David Hsu:
The Transfer of Human Trust in Robot Capabilities across Tasks. CoRR abs/1807.01866 (2018) - [i14]Péter Karkus, David Hsu, Wee Sun Lee:
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR abs/1807.06696 (2018) - [i13]Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. CoRR abs/1812.04728 (2018) - 2017
- [j32]Stefanos Nikolaidis
Human-robot mutual adaptation in collaborative tasks: Models and experiments. Int. J. Robotics Res. 36(5-7): 618-634 (2017) - [j31]Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. J. Artif. Intell. Res. 58: 231-266 (2017) - [c79]Prince Singh, Min Chen
Supermodular mean squared error minimization for sensor scheduling in optimal Kalman Filtering. ACC 2017: 5787-5794 - [c78]Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRL 2017: 185-194 - [c77]Stefanos Nikolaidis
Human-Robot Mutual Adaptation in Shared Autonomy. HRI 2017: 294-302 - [c76]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS 2017: 4694-4704 - [c75]Ziquan Lan, Mohit Shridhar, David Hsu, Shengdong Zhao
XPose: Reinventing User Interaction with Flying Cameras. Robotics: Science and Systems 2017 - [c74]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Shortest Path under Uncertainty: Exploration versus Exploitation. UAI 2017 - [i12]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. CoRR abs/1701.07851 (2017) - [i11]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR abs/1703.06692 (2017) - [i10]Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie A. Shah, Siddhartha S. Srinivasa:
Mathematical Models of Adaptation in Human-Robot Collaboration. CoRR abs/1707.02586 (2017) - [i9]Mohit Shridhar, David Hsu:
Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction. CoRR abs/1707.05720 (2017) - [i8]Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRR abs/1710.05627 (2017) - 2016
- [j30]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive informative path planning in metric spaces. Int. J. Robotics Res. 35(5): 585-598 (2016) - [j29]José Neira
Special Issue on the 2015 Robotics: Science & Systems Conference. Int. J. Robotics Res. 35(14): 1679-1680 (2016) - [c73]David Hsu:
Robots in Harmony with Humans. HAI 2016: 1 - [c72]Stefanos Nikolaidis
Formalizing Human-Robot Mutual Adaptation: A Bounded Memory Model. HRI 2016: 75-82 - [c71]Min Chen
POMDP-lite for robust robot planning under uncertainty. ICRA 2016: 5427-5433 - [c70]Jue Kun Li, David Hsu, Wee Sun Lee:
Act to See and See to Act: POMDP planning for objects search in clutter. IROS 2016: 5701-5707 - [c69]Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee:
Importance Sampling for Online Planning under Uncertainty. WAFR 2016: 240-255 - [c68]Michael C. Koval, David Hsu, Nancy S. Pollard
Configuration Lattices for Planar Contact Manipulation Under Uncertainty. WAFR 2016: 768-783 - [e5]David Hsu, Nancy M. Amato, Spring Berman, Sam Ade Jacobs:
Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18 - June 22, 2016. 2016, ISBN 978-0-9923747-2-3 [contents] - [i7]Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee:
POMDP-lite for Robust Robot Planning under Uncertainty. CoRR abs/1602.04875 (2016) - [i6]Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. CoRR abs/1603.06390 (2016) - [i5]Michael C. Koval, David Hsu, Nancy S. Pollard, Siddhartha S. Srinivasa:
Configuration Lattices for Planar Contact Manipulation Under Uncertainty. CoRR abs/1605.00169 (2016) - [i4]Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. CoRR abs/1609.03250 (2016) - [i3]Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1612.01746 (2016) - 2015
- [c67]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS 2015: 249-258 - [c66]Haoyu Bai, Shaojun Cai, Nan Ye, David Hsu, Wee Sun Lee:
Intention-aware online POMDP planning for autonomous driving in a crowd. ICRA 2015: 454-460 - [c65]Volkan Sezer
Towards autonomous navigation of unsignalized intersections under uncertainty of human driver intent. IROS 2015: 3578-3585 - [c64]Kegui Wu, Wee Sun Lee, David Hsu:
POMDP to the Rescue: Boosting Performance for Robocup Rescue. IROS 2015: 5294-5299 - [c63]Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. ISRR (1) 2015: 161-176 - [c62]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive Stochastic Optimization: From Sets to Paths. NIPS 2015: 1585-1593 - [c61]Min Cheng, Xiaoping Chen, Keke Tang
Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. RoboCup 2015: 377-388 - [c60]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS 2015: 238-239 - [e4]Lydia E. Kavraki, David Hsu, Jonas Buchli:
Robotics: Science and Systems XI, Sapienza University of Rome, Rome, Italy, July 13-17, 2015. 2015, ISBN 978-0-9923747-1-6 [contents] - 2014
- [j28]Anna M. Ritz
Characterization of structural variants with single molecule and hybrid sequencing approaches. Bioinform. 30(24): 3458-3466 (2014) - [j27]Haoyu Bai, David Hsu, Wee Sun Lee:
Integrated perception and planning in the continuous space: A POMDP approach. Int. J. Robotics Res. 33(9): 1288-1302 (2014) - [j26]Xinxi Wang, Yi Wang
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach. ACM Trans. Multim. Comput. Commun. Appl. 11(1): 7:1-7:22 (2014) - [c59]Zongzhang Zhang, David Hsu, Wee Sun Lee:
Covering Number for Efficient Heuristic-based POMDP Planning. ICML 2014: 28-36 - [c58]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive Informative Path Planning in Metric Spaces. WAFR 2014: 283-300 - 2013
- [c57]Pratik Chaudhari, Sertac Karaman, David Hsu, Emilio Frazzoli:
Sampling-based algorithms for continuous-time POMDPs. ACC 2013: 4604-4610 - [c56]Sucheendra K. Palaniappan
Statistical Model Checking Based Calibration and Analysis of Bio-pathway Models. CMSB 2013: 120-134 - [c55]Haoyu Bai, David Hsu, Wee Sun Lee:
Planning how to learn. ICRA 2013: 2853-2859 - [c54]Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. NIPS 2013: 1772-1780 - [c53]Haoyu Bai, David Hsu, Wee Sun Lee:
Integrated Perception and Planning in the Continuous Space: A POMDP Approach. Robotics: Science and Systems 2013 - [e3]Paul Newman, Dieter Fox, David Hsu:
Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24 - June 28, 2013. 2013, ISBN 978-981-07-3937-9 [contents] - [i2]Xinxi Wang, Yi Wang, David Hsu, Ye Wang:
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach. CoRR abs/1311.6355 (2013) - 2012
- [j25]David Hsu, Volkan Isler, Jean-Claude Latombe, Ming C. Lin:
Special Issue on the Ninth International Workshop on Algorithmic Foundations of Robotics (WAFR). Int. J. Robotics Res. 31(2): 127-128 (2012) - [c52]Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee:
Monte Carlo Bayesian Reinforcement Learning. ICML 2012 - [c51]Z. J. Chong, Baoxing Qin, Tirthankar Bandyopadhyay, Tichakorn Wongpiromsarn, Brice Rebsamen, P. Dai, S. Kim, Marcelo H. Ang
Autonomy for mobility on demand. IROS 2012: 4235-4236 - [c50]Tirthankar Bandyopadhyay, Zhuang Jie Chong, David Hsu, Marcelo H. Ang Jr., Daniela Rus, Emilio Frazzoli:
Intention-Aware Pedestrian Avoidance. ISER 2012: 963-977 - [c49]Tirthankar Bandyopadhyay, Kok Sung Won, Emilio Frazzoli, David Hsu, Wee Sun Lee, Daniela Rus:
Intention-Aware Motion Planning. WAFR 2012: 475-491 - [i1]Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant:
CAPIR: Collaborative Action Planning with Intention Recognition. CoRR abs/1206.5928 (2012) - 2011
- [j24]Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee:
Motion planning under uncertainty for robotic tasks with long time horizons. Int. J. Robotics Res. 30(3): 308-323 (2011) - [j23]Bing Liu
A Computational and Experimental Study of the Regulatory Mechanisms of the Complement System. PLoS Comput. Biol. 7(1) (2011) - [j22]Bing Liu
Probabilistic approximations of ODEs based bio-pathway dynamics. Theor. Comput. Sci. 412(21): 2188-2206 (2011) - [j21]Geoffrey Koh, David Hsu, P. S. Thiagarajan:
Component-based construction of bio-pathway models: The parameter estimation problem. Theor. Comput. Sci. 412(26): 2840-2853 (2011) - [c48]Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant:
CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE 2011 - [c47]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Monte Carlo Value Iteration with Macro-Actions. NIPS 2011: 1287-1295 - [c46]Haoyu Bai, David Hsu, Mykel J. Kochenderfer, Wee Sun Lee:
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs. Robotics: Science and Systems 2011 - [e2]David Hsu, Volkan Isler, Jean-Claude Latombe, Ming C. Lin:
Algorithmic Foundations of Robotics IX - Selected Contributions of the Ninth International Workshop on the Algorithmic Foundations of Robotics, WAFR 2010, Singapore, December 13-15, 2010. Springer Tracts in Advanced Robotics 68, Springer 2011, ISBN 978-3-642-17451-3 [contents] - 2010
- [j20]Tsung-Han Chiang, David Hsu, Jean-Claude Latombe:
Markov dynamic models for long-timescale protein motion. Bioinform. 26(12): 269-277 (2010) - [j19]Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee:
Planning under Uncertainty for Robotic Tasks with Mixed Observability. Int. J. Robotics Res. 29(8): 1053-1068 (2010) - [c45]Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. Ong:
Structured Parameter Elicitation. AAAI 2010: 1102-1107 - [c44]Geoffrey Koh, David Hsu, P. S. Thiagarajan:
Incremental Signaling Pathway Modeling by Data Integration. RECOMB 2010: 281-296 - [c43]Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien:
Monte Carlo Value Iteration for Continuous-State POMDPs. WAFR 2010: 175-191
2000 – 2009
- 2009
- [c42]Bing Liu, P. S. Thiagarajan, David Hsu:
Probabilistic Approximations of Signaling Pathway Dynamics. CMSB 2009: 251-265 - [c41]Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Kurniawati:
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction. HCI (7) 2009: 577-586 - [c40]Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee:
Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons. ISRR 2009: 151-168 - [c39]Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee:
POMDPs for robotic tasks with mixed observability. Robotics: Science and Systems 2009 - 2008
- [j18]Anshul Nigham, David Hsu:
Protein Conformational Flexibility Analysis with Noisy Data. J. Comput. Biol. 15(7): 813-828 (2008) - [j17]Anshul Nigham, Lisa Tucker-Kellogg
pFlexAna: detecting conformational changes in remotely related proteins. Nucleic Acids Res. 36(Web-Server-Issue): 246-251 (2008) - [c38]David Hsu, Wee Sun Lee, Nan Rong:
A point-based POMDP planner for target tracking. ICRA 2008: 2644-2650 - [c37]Tirthankar Bandyopadhyay, David Hsu, Marcelo H. Ang
Motion Strategies for People Tracking in Cluttered and Dynamic Environments. ISER 2008: 463-472 - [c36]Hanna Kurniawati, David Hsu, Wee Sun Lee:
SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces. Robotics: Science and Systems 2008 - [c35]Leonidas J. Guibas, David Hsu, Hanna Kurniawati, Ehsan Rehman
Bounded Uncertainty Roadmaps for Path Planning. WAFR 2008: 199-215 - 2007
- [j16]Tsung-Han Chiang, Mehmet Serkan Apaydin
Using Stochastic Roadmap Simulation to Predict Experimental Quantities in Protein Folding Kinetics: Folding Rates and Phi-Values. J. Comput. Biol. 14(5): 578-593 (2007) - [c34]Tirthankar Bandyopadhyay, Marcelo H. Ang
Motion Planning for 3-D Target Tracking among Obstacles. ISRR 2007: 267-279 - [c33]David Hsu, Wee Sun Lee, Nan Rong:
What makes some POMDP problems easy to approximate? NIPS 2007: 689-696 - [c32]Anshul Nigham, David Hsu:
Protein Conformational Flexibility Analysis with Noisy Data. RECOMB 2007: 396-411 - [c31]Geoffrey Koh, Lisa Tucker-Kellogg
Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation. WABI 2007: 420-430 - 2006
- [j15]David Hsu, John M. Beggs:
Neuronal avalanches and criticality: A dynamical model for homeostasis. Neurocomputing 69(10-12): 1134-1136 (2006) - [j14]David Hsu, Jean-Claude Latombe, Hanna Kurniawati:
On the Probabilistic Foundations of Probabilistic Roadmap Planning. Int. J. Robotics Res. 25(7): 627-643 (2006) - [c30]David Hsu, Gildardo Sánchez-Ante
Multi-level Free-space Dilation for Sampling narrow Passages in PRM Planning. ICRA 2006: 1255-1260 - [c29]Tirthankar Bandyopadhyay, Yuanping Li, Marcelo H. Ang Jr.
A Greedy Strategy for Tracking a Locally Predictable Target among Obstacles. ICRA 2006: 2342-2347 - [c28]Geoffrey Koh, Huey Fern Carol Teong, Marie-Véronique Clément, David Hsu, P. S. Thiagarajan:
A decompositional approach to parameter estimation in pathway modeling: a case study of the Akt and MAPK pathways and their crosstalk. ISMB (Supplement of Bioinformatics) 2006: 271-280 - [c27]Tsung-Han Chiang, Mehmet Serkan Apaydin
Predicting Experimental Quantities in Protein Folding Kinetics Using Stochastic Roadmap Simulation. RECOMB 2006: 410-424 - [c26]Hanna Kurniawati, David Hsu:
Workspace-Based Connectivity Oracle: An Adaptive Sampling Strategy for PRM Planning. WAFR 2006: 35-51 - 2005
- [j13]Murielle Hsu, David Hsu:
A piece-wise harmonic Langevin model of EEG dynamics: Theory and application to EEG seizure detection. Neurocomputing 65-66: 469-474 (2005) - [j12]Michael A. Erdmann, David Hsu, Mark H. Overmars, A. Frank van der Stappen
Editorial: Special Issue on WAFR 2004. Int. J. Robotics Res. 24(11): 881-882 (2005) - [j11]Vishnu Balan, Joe Caroselli, Jenn-Gang Chern, Catherine Chow, Ratnakar Dadi, Chintan Desai, Leo Fang, David Hsu, Pankaj Joshi, Hiroshi Kimura, Cathy Ye Liu, Tzu-Wang Pan, Ryan Park, Cindy You, Yi Zeng, Eric Zhang, Freeman Zhong:
A 4.8-6.4-Gb/s serial link for backplane applications using decision feedback equalization. IEEE J. Solid State Circuits 40(9): 1957-1967 (2005) - [j10]Zheng Sun, David Hsu, Tingting Jiang, Hanna Kurniawati, John H. Reif:
Narrow passage sampling for probabilistic roadmap planning. IEEE Trans. Robotics 21(6): 1105-1115 (2005) - [c25]Seth Bridges, Miguel E. Figueroa
A reconfigurable VLSI learning array. ESSCIRC 2005: 117-120 - [c24]David Hsu, Gildardo Sánchez-Ante
Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy. ICRA 2005: 3874-3880 - [c23]David Hsu, Jean-Claude Latombe, Hanna Kurniawati:
On the Probabilistic Foundations of Probabilistic Roadmap Planning. ISRR 2005: 83-97 - [c22]Jun Yin, Ye Wang
Digital violin tutor: an integrated system for beginning violin learners. ACM Multimedia 2005: 976-985 - [e1]Michael A. Erdmann, Mark H. Overmars, David Hsu, A. Frank van der Stappen:
Algorithmic Foundations of Robotics VI, Selected Contributions of the Sixth International Workshop on the Algorithmic Foundations of Robotics, WAFR 2004, July 11-13, 2004, Zeist, the Netherlands. Springer Tracts in Advanced Robotics 17, Springer 2005, ISBN 978-3-540-25728-8 [contents] - 2004
- [j9]Miguel E. Figueroa
A 19.2 GOPS mixed-signal filter with floating-gate adaptation. IEEE J. Solid State Circuits 39(7): 1196-1201 (2004) - [c21]Chenyi Xia, David Hsu, Anthony K. H. Tung
A Fast Filter for Obstructed Nearest Neighbor Queries. BNCOD 2004: 203-215 - [c20]Hanna Kurniawati, David Hsu:
Workspace importance sampling for probabilistic roadmap planning. IROS 2004: 1618-1623 - [c19]Jun Yin, Ankur Dhanik, David Hsu, Ye Wang
The creation of a music-driven digital violinist. ACM Multimedia 2004: 476-479 - [c18]David Hsu, Zheng Sun:
Adaptively combining multiple sampling strategies for probabilistic roadmap planning. RAM 2004: 774-779 - [c17]Tirthankar Bandyopadhyay, Yuanping Li, Marcelo H. Ang Jr., David Hsu:
Stealth Tracking of an Unpredictable Target among Obstacles. WAFR 2004: 43-58 - 2003
- [j8]Mehmet Serkan Apaydin
Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion. J. Comput. Biol. 10(3/4): 257-281 (2003) - [c16]Miguel E. Figueroa
A 19.2GOPS, 20mW adaptive FIR filter. ESSCIRC 2003: 509-512 - [c15]David Hsu, Tingting Jiang, John H. Reif, Zheng Sun:
The bridge test for sampling narrow passages with probabilistic roadmap planners. ICRA 2003: 4420-4426 - 2002
- [j7]David Hsu, Robert Kindel, Jean-Claude Latombe, Stephen M. Rock:
Randomized Kinodynamic Motion Planning with Moving Obstacles. Int. J. Robotics Res. 21(3): 233-256 (2002) - [j6]Chris Diorio, David Hsu, Miguel E. Figueroa
Prolog to adaptive CMOS: from biological inspiration to systems-on-a-chip. Proc. IEEE 90(3): 343-344 (2002) - [j5]Chris Diorio, David Hsu, Miguel E. Figueroa
Adaptive CMOS: from biological inspiration to systems-on-a-chip. Proc. IEEE 90(3): 345-357 (2002) - [j4]David Hsu, Miguel E. Figueroa
Competitive learning with floating-gate circuits. IEEE Trans. Neural Networks 13(3): 732-744 (2002) - [c14]Douglas L. Brutlag, Mehmet Serkan Apaydin, Carlos Guestrin, David Hsu, Chris Varma, Amit Pal Singh, Jean-Claude Latombe:
Using robotics to fold proteins and dock ligands. ECCB 2002: 74-74 - [c13]David Hsu, Seth Bridges, Miguel E. Figueroa, Chris Diorio:
Adaptive Quantization and Density Estimation in Silicon. NIPS 2002: 1083-1090 - [c12]Seth Bridges, Miguel E. Figueroa, David Hsu, Chris Diorio:
Field-Programmable Learning Arrays. NIPS 2002: 1155-1162 - [c11]Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe:
Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion. RECOMB 2002: 12-21 - [c10]Mehmet Serkan Apaydin
Stochastic Conformational Roadmaps for Computing Ensemble Properties of Molecular Motion. WAFR 2002: 131-148 - 2001
- [j3]Miguel E. Figueroa
A mixed-signal approach to high-performance low-power linear filters. IEEE J. Solid State Circuits 36(5): 816-822 (2001) - [c9]Rahul Sukthankar, Tat-Jen Cham
Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations. ICCV 2001: 748 - [c8]Julien Basch, Leonidas J. Guibas, David Hsu, An Thai Nguyen:
Disconnection Proofs for Motion Planning. ICRA 2001: 1765-1772 - [c7]Aaron P. Shon, David Hsu, Chris Diorio:
Learning Spike-Based Correlations and Conditional Probabilities in Silicon. NIPS 2001: 1123-1130 - 2000
- [b1]David Hsu:
Randomized single-query motion planning in expansive spaces. Stanford University, USA, 2000 - [j2]Leonidas J. Guibas, David Hsu, Li Zhang:
A hierarchical method for real-time distance computation among moving convex bodies. Comput. Geom. 15(1-3): 51-68 (2000) - [c6]Robert Kindel, David Hsu, Jean-Claude Latombe, Stephen M. Rock:
Kinodynamic Motion Planning Amidst Moving Obstacles. ICRA 2000: 537-543 - [c5]David Hsu, Miguel E. Figueroa, Chris Diorio:
A Silicon Primitive for Competitive Learning. NIPS 2000: 713-719
1990 – 1999
- 1999
- [j1]David Hsu, Jean-Claude Latombe, Rajeev Motwani:
Path Planning in Expansive Configuration Spaces. Int. J. Comput. Geom. Appl. 9(4/5): 495-512 (1999) - [c4]Leonidas J. Guibas, David Hsu, Li Zhang:
H-Walk: Hierarchical Distance Computation for Moving Convex Bodies. SCG 1999: 265-273 - 1998
- [c3]David Hsu, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani:
Capturing the Connectivity of High-Dimensional Geometric Spaces by Parallelizable Random Sampling Techniques. IPPS/SPDP Workshops 1998: 330-340 - 1997
- [c2]David Hsu, Jean-Claude Latombe, Rajeev Motwani:
Path planning in expansive configuration spaces. ICRA 1997: 2719-2726 - 1995
- [c1]Helmut Alt, David Hsu, Jack Snoeyink:
Computing the largest inscribed isothetic rectangle. CCCG 1995: 67-72
Coauthor Index
[c122] [i63] [c117] [c114] [i50] [c111] [i43] [i39] [j39] [i36] [c100] [c99] [c98] [i31] [i29] [j34] [c95] [c94] [c91] [c90] [c89] [i26] [i25] [i24] [i23] [j33] [c88] [c84] [c83] [c80] [i19] [i18] [i17] [i14] [i13] [j31] [c78] [c76] [c74] [i11] [i8] [j30] [c71] [c70] [c69] [i7] [i6] [i4] [i3] [c67] [c66] [c64] [c63] [c62] [c60] [j27] [c59] [c58] [c55] [c54] [c53] [c52] [c49] [i1] [j24] [c48] [c47] [c46] [j19] [c45] [c43] [c41] [c40] [c39] [c38] [c36] [c33]
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