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Lionel Ott
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2020 – today
- 2024
- [j19]Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoit Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matías Mattamala, Markus Montenegro, Konrad Meyer, Xiangyu Wu, Adrien Briod, Mark W. Mueller, Maurice F. Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis:
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned. Field Robotics 4(1): 249-312 (2024) - [c51]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c50]Victor Reijgwart, Michael Pantic, Roland Siegwart, Lionel Ott:
Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance. ICRA 2024: 13157-13163 - [i58]Francesco Di Felice, Alberto Remus, Stefano Gasperini, Benjamin Busam, Lionel Ott, Federico Tombari, Roland Siegwart, Carlo Alberto Avizzano:
Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation. CoRR abs/2403.14279 (2024) - [i57]Victor Reijgwart, Michael Pantic, Roland Siegwart, Lionel Ott:
Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance. CoRR abs/2405.13617 (2024) - [i56]Mike Allenspach, Michael Pantic, Rik Girod, Lionel Ott, Roland Siegwart:
Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies. CoRR abs/2406.17333 (2024) - [i55]Francesco Milano, Jen Jen Chung, Hermann Blum, Roland Siegwart, Lionel Ott:
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models. CoRR abs/2407.12207 (2024) - 2023
- [j18]Christian Lanegger, Michael Pantic, Rik Bähnemann, Roland Siegwart, Lionel Ott:
Chasing millimeters: design, navigation and state estimation for precise in-flight marking on ceilings. Auton. Robots 47(8): 1405-1418 (2023) - [j17]Julian Förster, Lionel Ott, Juan I. Nieto, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung:
Automatic extension of a symbolic mobile manipulation skill set. Robotics Auton. Syst. 165: 104428 (2023) - [j16]Giuseppe Rizzi, Jen Jen Chung, Abel Gawel, Lionel Ott, Marco Tognon, Roland Siegwart:
Robust Sampling-Based Control of Mobile Manipulators for Interaction With Articulated Objects. IEEE Trans. Robotics 39(3): 1929-1946 (2023) - [c49]Vincent Schorp, Will Panitch, Kaushik Shivakumar, Vainavi Viswanath, Justin Kerr, Yahav Avigal, Danyal M. Fer, Lionel Ott, Ken Goldberg:
Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening. CASE 2023: 1-6 - [c48]Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Cadena, Roland Siegwart, Lionel Ott:
Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs. ICRA 2023: 1666-1672 - [c47]Giulio Schiavi, Paula Wulkop, Giuseppe Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung:
Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects. ICRA 2023: 5916-5922 - [c46]Lukas Bernreiter, Lionel Ott, Roland Siegwart, Cesar Cadena:
SphNet: A Spherical Network for Semantic Pointcloud Segmentation. ICRA 2023: 8163-8170 - [c45]Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart:
NeRFing it: Offline Object Segmentation Through Implicit Modeling. ICRA 2023: 9407-9413 - [c44]Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart:
Neural Implicit Vision-Language Feature Fields. IROS 2023: 1313-1318 - [c43]Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart:
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps. IROS 2023: 7629-7634 - [c42]Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott:
Material-Agnostic Shaping of Granular Materials with Optimal Transport. IROS 2023: 10652-10659 - [c41]Victor Reijgwart, Cesar Cadena, Roland Siegwart, Lionel Ott:
Efficient volumetric mapping of multi-scale environments using wavelet-based compression. Robotics: Science and Systems 2023 - [i54]Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Dario Cadena Lerma, Roland Siegwart, Lionel Ott:
Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs. CoRR abs/2301.08068 (2023) - [i53]Christian Lanegger, Michael Pantic, Rik Bähnemann, Roland Siegwart, Lionel Ott:
Chasing Millimeters: Design, Navigation and State Estimation for Precise In-flight Marking on Ceilings. CoRR abs/2303.01352 (2023) - [i52]Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart:
Neural Implicit Vision-Language Feature Fields. CoRR abs/2303.10962 (2023) - [i51]Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott:
Material-agnostic Shaping of Granular Materials with Optimal Transport. CoRR abs/2303.17047 (2023) - [i50]Victor Reijgwart, Cesar Cadena, Roland Siegwart, Lionel Ott:
Efficient volumetric mapping of multi-scale environments using wavelet-based compression. CoRR abs/2306.01279 (2023) - [i49]Vincent Schorp, Will Panitch, Kaushik Shivakumar, Vainavi Viswanath, Justin Kerr, Yahav Avigal, Danyal M. Fer, Lionel Ott, Ken Goldberg:
Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening. CoRR abs/2307.06845 (2023) - [i48]Michael Pantic, Elias Hampp, Ramon Flammer, Weixuan Zhang, Thomas Stastny, Lionel Ott, Roland Siegwart:
Soliro - a hybrid dynamic tilt-wing aerial manipulator with minimal actuators. CoRR abs/2312.05110 (2023) - [i47]Christian Lanegger, Helen Oleynikova, Michael Pantic, Lionel Ott, Roland Siegwart:
To Fuse or Not to Fuse: Measuring Consistency in Multi-Sensor Fusion for Aerial Robots. CoRR abs/2312.14730 (2023) - 2022
- [j15]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Bayesian iterative closest point for mobile robot localization. Int. J. Robotics Res. 41(9-10): 851-874 (2022) - [j14]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein ICP for Uncertainty Estimation in Point Cloud Matching. IEEE Robotics Autom. Lett. 7(2): 1063-1070 (2022) - [j13]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation. IEEE Robotics Autom. Lett. 7(2): 5421-5428 (2022) - [j12]Weixuan Zhang, Lionel Ott, Marco Tognon, Roland Siegwart:
Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing. IEEE Robotics Autom. Lett. 7(4): 11275-11282 (2022) - [j11]Alexander Dietsche, Lionel Ott, Roland Siegwart, Roland Brockers:
Visual Loop Closure Detection for a Future Mars Science Helicopter. IEEE Robotics Autom. Lett. 7(4): 12014-12021 (2022) - [c40]Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos:
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. ICML 2022: 27060-27074 - [c39]Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart:
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. ICPR 2022: 3908-3914 - [c38]Mihir Kulkarni, Mihir Dharmadhikari, Marco Tranzatto, Samuel Zimmermann, Victor Reijgwart, Paolo De Petris, Huan Nguyen, Nikhil Khedekar, Christos Papachristos, Lionel Ott, Roland Siegwart, Marco Hutter, Kostas Alexis:
Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots. ICRA 2022: 3306-3313 - [c37]Lukas Bernreiter, Shehryar Khattak, Lionel Ott, Roland Siegwart, Marco Hutter, César Cadena:
Collaborative Robot Mapping using Spectral Graph Analysis. ICRA 2022: 3662-3668 - [c36]Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung:
Closed-Loop Next-Best-View Planning for Target-Driven Grasping. IROS 2022: 1411-1416 - [c35]Jen Jen Chung, Julian Förster, Paula Wulkop, Lionel Ott, Nicholas R. J. Lawrance, Roland Siegwart:
It's Just Semantics: How to Get Robots to Understand the World the Way We Do. ISRR 2022: 3-10 - [c34]Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Diffeomorphic Transforms for Generalised Imitation Learning. L4DC 2022: 508-519 - [c33]Iason Katsamenis, Matthaios Bimpas, Eftychios Protopapadakis, Charalampos Zafeiropoulos, Dimitris Kalogeras, Anastasios D. Doulamis, Nikolaos Doulamis, Carlos Martín-Portugués Montoliu, Yannis Handanos, Franziska Schmidt, Lionel Ott, Miquel Cantero, Rafael Lopez:
Robotic Maintenance of Road Infrastructures: The HERON Project. PETRA 2022: 628-635 - [c32]Christian Lanegger, Marco Ruggia, Marco Tognon, Lionel Ott, Roland Siegwart:
Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings. Robotics: Science and Systems 2022 - [i46]Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart:
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. CoRR abs/2201.07665 (2022) - [i45]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation. CoRR abs/2202.04213 (2022) - [i44]Lukas Bernreiter, Shehryar Khattak, Lionel Ott, Roland Siegwart, Marco Hutter, César Cadena:
Collaborative Robot Mapping using Spectral Graph Analysis. CoRR abs/2203.00308 (2022) - [i43]Michael Pantic, Cesar Cadena, Roland Siegwart, Lionel Ott:
Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF). CoRR abs/2205.01389 (2022) - [i42]Iason Katsamenis, Matthaios Bimpas, Eftychios Protopapadakis, Charalampos Zafeiropoulos, Dimitris Kalogeras, Anastasios D. Doulamis, Nikolaos Doulamis, Carlos Martín-Portugués Montoliu, Yannis Handanos, Franziska Schmidt, Lionel Ott, Miquel Cantero, Rafael Lopez:
Robotic Maintenance of Road Infrastructures: The HERON Project. CoRR abs/2205.04164 (2022) - [i41]Weixuan Zhang, Lionel Ott, Marco Tognon, Roland Siegwart:
Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing. CoRR abs/2206.14122 (2022) - [i40]Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoit Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matías Mattamala, Markus Montenegro, Konrad Meyer, Xiangyu Wu, Adrien Briod, Mark W. Mueller, Maurice F. Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis:
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned. CoRR abs/2207.04914 (2022) - [i39]Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung:
Closed-Loop Next-Best-View Planning for Target-Driven Grasping. CoRR abs/2207.10543 (2022) - [i38]Giulio Schiavi, Paula Wulkop, Giuseppe Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung:
Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects. CoRR abs/2209.05802 (2022) - [i37]Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart:
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps. CoRR abs/2209.12744 (2022) - [i36]Lukas Bernreiter, Shehryar Khattak, Lionel Ott, Roland Siegwart, Marco Hutter, Cesar Cadena:
A Framework for Collaborative Multi-Robot Mapping using Spectral Graph Wavelets. CoRR abs/2210.13856 (2022) - [i35]Lukas Bernreiter, Lionel Ott, Roland Siegwart, Cesar Cadena:
SphNet: A Spherical Network for Semantic Pointcloud Segmentation. CoRR abs/2210.13992 (2022) - 2021
- [j10]Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
PHASER: A Robust and Correspondence-Free Global Pointcloud Registration. IEEE Robotics Autom. Lett. 6(2): 855-862 (2021) - [j9]Lukas Schmid, Victor Reijgwart, Lionel Ott, Juan I. Nieto, Roland Siegwart, César Cadena:
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments Under Severe Odometry Drift. IEEE Robotics Autom. Lett. 6(3): 4504-4511 (2021) - [j8]Michael Pantic, Lionel Ott, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Mesh Manifold Based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles. IEEE Robotics Autom. Lett. 6(3): 4790-4797 (2021) - [c31]Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems. ICRA 2021: 1743-1750 - [c30]Weixuan Zhang, Marco Tognon, Lionel Ott, Roland Siegwart, Juan I. Nieto:
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots. ICRA 2021: 4467-4473 - [c29]Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. ICRA 2021: 8459-8464 - [c28]Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Trajectory Generation in New Environments from Past Experiences. IROS 2021: 7911-7918 - [c27]Weiming Zhi, Lionel Ott, Fabio Ramos:
Probabilistic Trajectory Prediction with Structural Constraints. IROS 2021: 9849-9856 - [c26]Rafael Oliveira, Lionel Ott, Fabio Ramos:
No-regret approximate inference via Bayesian optimisation. UAI 2021: 2082-2092 - [i34]Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto:
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. CoRR abs/2101.01132 (2021) - [i33]Weixuan Zhang, Lionel Ott, Marco Tognon, Roland Siegwart, Juan I. Nieto:
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots. CoRR abs/2101.08100 (2021) - [i32]Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
PHASER: a Robust and Correspondence-free Global Pointcloud Registration. CoRR abs/2102.02767 (2021) - [i31]Michael Pantic, Lionel Ott, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles. CoRR abs/2102.10313 (2021) - [i30]Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems. CoRR abs/2104.10067 (2021) - [i29]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein ICP for Uncertainty Estimation in Point Cloud Matching. CoRR abs/2106.03287 (2021) - [i28]Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos:
Learning ODEs via Diffeomorphisms for Fast and Robust Integration. CoRR abs/2107.01650 (2021) - [i27]Weiming Zhi, Lionel Ott, Fabio Ramos:
Probabilistic Trajectory Prediction with Structural Constraints. CoRR abs/2107.04193 (2021) - [i26]Mihir Kulkarni, Mihir Dharmadhikari, Marco Tranzatto, Samuel Zimmermann, Victor Reijgwart, Paolo De Petris, Huan Nguyen, Nikhil Khedekar, Christos Papachristos, Lionel Ott, Roland Siegwart, Marco Hutter, Kostas Alexis:
Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots. CoRR abs/2111.06482 (2021) - 2020
- [j7]Lukas Schmid, Michael Pantic, Raghav Khanna, Lionel Ott, Roland Siegwart, Juan I. Nieto:
An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments. IEEE Robotics Autom. Lett. 5(2): 1500-1507 (2020) - [j6]Weixuan Zhang, Maximilian Brunner, Lionel Ott, Mina Kamel, Roland Siegwart, Juan I. Nieto:
Learning Dynamics for Improving Control of Overactuated Flying Systems. IEEE Robotics Autom. Lett. 5(4): 5283-5290 (2020) - [c25]Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto:
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. CoRL 2020: 1602-1611 - [c24]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Estimating Motion Uncertainty with Bayesian ICP. ICRA 2020: 8602-8608 - [c23]Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos:
DISCO: Double Likelihood-free Inference Stochastic Control. ICRA 2020: 10969-10975 - [i25]Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos:
DISCO: Double Likelihood-free Inference Stochastic Control. CoRR abs/2002.07379 (2020) - [i24]Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan I. Nieto, Roland Siegwart:
Go Fetch: Mobile Manipulation in Unstructured Environments. CoRR abs/2004.00899 (2020) - [i23]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Estimating Motion Uncertainty with Bayesian ICP. CoRR abs/2004.07973 (2020) - [i22]Weixuan Zhang, Maximilian Brunner, Lionel Ott, Mina Kamel, Roland Siegwart, Juan I. Nieto:
Learning dynamics for improving control of overactuated flying systems. CoRR abs/2006.13153 (2020) - [i21]Lukas Schmid, Victor J. F. Reijgwart, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift. CoRR abs/2010.09859 (2020) - [i20]Julian Förster, Juan I. Nieto, Lionel Ott, Roland Siegwart, Jen Jen Chung:
Autonomous Extension of a Symbolic Mobile Manipulation Skill Set. CoRR abs/2010.10651 (2020) - [i19]Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. CoRR abs/2011.06235 (2020)
2010 – 2019
- 2019
- [j5]Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos:
Occupancy map building through Bayesian exploration. Int. J. Robotics Res. 38(7) (2019) - [j4]Philippe Morere, Lionel Ott, Fabio Ramos:
Learning to Plan Hierarchically From Curriculum. IEEE Robotics Autom. Lett. 4(3): 2815-2822 (2019) - [j3]Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos:
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks. IEEE Robotics Autom. Lett. 4(4): 4306-4313 (2019) - [c22]Rafael Oliveira, Lionel Ott, Fabio Ramos:
Bayesian optimisation under uncertain inputs. AISTATS 2019: 1177-1184 - [c21]Weiming Zhi, Lionel Ott, Fabio Ramos:
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. CoRL 2019: 1405-1414 - [c20]Gilad Francis, Lionel Ott, Fabio Ramos:
Fast Stochastic Functional Path Planning in Occupancy Maps. ICRA 2019: 929-935 - [c19]Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos:
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. ICRA 2019: 4111-4117 - [c18]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent. ICRA 2019: 6395-6401 - [i18]Rafael Oliveira, Lionel Ott, Fabio Ramos:
Bayesian optimisation under uncertain inputs. CoRR abs/1902.07908 (2019) - [i17]Philippe Morere, Lionel Ott, Fabio Ramos:
Learning to Plan Hierarchically from Curriculum. CoRR abs/1906.07371 (2019) - [i16]Weiming Zhi, Lionel Ott, Fabio Ramos:
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. CoRR abs/1907.05127 (2019) - [i15]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent. CoRR abs/1907.09133 (2019) - [i14]Lukas Schmid, Michael Pantic, Raghav Khanna, Lionel Ott, Roland Siegwart, Juan I. Nieto:
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments. CoRR abs/1909.09548 (2019) - [i13]Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos:
OCTNet: Trajectory Generation in New Environments from Past Experiences. CoRR abs/1909.11337 (2019) - [i12]Tom Blau, Lionel Ott, Fabio Ramos:
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning. CoRR abs/1911.08701 (2019) - 2018
- [c17]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race Through Coordinate Descent Bayesian Optimisation. ICRA 2018: 6431-6438 - [c16]Tom Blau, Lionel Ott, Fabio Ramos:
Improving Reinforcement Learning Pre-Training with Variational Dropout. IROS 2018: 4115-4122 - [i11]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR abs/1802.06179 (2018) - [i10]Gilad Francis, Lionel Ott, Fabio Ramos:
Functional Path Optimisation for Exploration in Continuous Occupancy Maps. CoRR abs/1805.01079 (2018) - 2017
- [c15]Gilad Francis, Lionel Ott, Fabio Ramos:
Stochastic functional gradient for motion planning in continuous occupancy maps. ICRA 2017: 3778-3785 - [c14]Charika De Alvis, Lionel Ott, Fabio Ramos:
Online learning for scene segmentation with laser-constrained CRFs. ICRA 2017: 4639-4643 - [c13]Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos:
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. ISRR 2017: 489-504 - [c12]Gilad Francis, Lionel Ott, Fabio Ramos:
Functional Path Optimisation for Exploration in Continuous Occupancy Maps. ISRR 2017: 859-875 - [i9]Charika De Alvis, Lionel Ott, Fabio Tozeto Ramos:
Urban Scene Segmentation with Laser-Constrained CRFs. CoRR abs/1701.01892 (2017) - [i8]Gilad Francis, Lionel Ott, Fabio Tozeto Ramos:
Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps. CoRR abs/1703.00194 (2017) - [i7]Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos:
Occupancy Map Building through Bayesian Exploration. CoRR abs/1703.00227 (2017) - [i6]Gilad Francis, Lionel Ott, Fabio Ramos:
Stochastic Functional Gradient Path Planning in Occupancy Maps. CoRR abs/1705.05987 (2017) - [i5]Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos:
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. CoRR abs/1709.02169 (2017) - [i4]Thushan Ganegedara, Lionel Ott, Fabio Ramos:
Learning to Navigate by Growing Deep Networks. CoRR abs/1712.05084 (2017) - 2016
- [j2]Fabio Ramos, Lionel Ott:
Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent. Int. J. Robotics Res. 35(14): 1717-1730 (2016) - [c11]Thushan Ganegedara, Lionel Ott, Fabio Ramos:
Online Adaptation of Deep Architectures with Reinforcement Learning. ECAI 2016: 577-585 - [c10]Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Tozeto Ramos, Ben Upcroft:
Simple online and realtime tracking. ICIP 2016: 3464-3468 - [c9]Alex Bewley, Lionel Ott, Fabio Ramos, Ben Upcroft:
Alextrac: Affinity learning by exploring temporal reinforcement within association chains. ICRA 2016: 2212-2218 - [c8]Charika De Alvis, Lionel Ott, Fabio Tozeto Ramos:
Urban scene segmentation with laser-constrained CRFs. IROS 2016: 2147-2154 - [c7]Ransalu Senanayake, Lionel Ott, Simon Timothy O'Callaghan, Fabio Tozeto Ramos:
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. NIPS 2016: 3918-3926 - [i3]Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Ramos, Ben Upcroft:
Simple Online and Realtime Tracking. CoRR abs/1602.00763 (2016) - [i2]Thushan Ganegedara, Lionel Ott, Fabio Ramos:
Online Adaptation of Deep Architectures with Reinforcement Learning. CoRR abs/1608.02292 (2016) - 2015
- [b1]Lionel Ott:
Unsupervised learning for long-term autonomy. University of Sydney, Australia, 2015 - [c6]Fabio Tozeto Ramos, Lionel Ott:
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent. Robotics: Science and Systems 2015 - 2014
- [c5]Jefferson R. Souza, Román Marchant, Lionel Ott, Denis Fernando Wolf, Fabio Ramos:
Bayesian optimisation for active perception and smooth navigation. ICRA 2014: 4081-4087 - [c4]Lionel Ott, Linsey Xiaolin Pang, Fabio Tozeto Ramos, Sanjay Chawla:
On Integrated Clustering and Outlier Detection. NIPS 2014: 1359-1367 - [i1]Lionel Ott, Linsey Xiaolin Pang, Fabio Ramos, David Howe, Sanjay Chawla:
Integer Programming Relaxations for Integrated Clustering and Outlier Detection. CoRR abs/1403.1329 (2014) - 2013
- [j1]Lionel Ott, Fabio Ramos:
Unsupervised online learning for long-term autonomy. Int. J. Robotics Res. 32(14): 1724-1741 (2013) - [c3]Lionel Ott, Fabio Ramos:
Multi-sensor clustering using Layered Affinity Propagation. IROS 2013: 2819-2826 - 2012
- [c2]Lionel Ott, Fabio Ramos:
Unsupervised incremental learning for long-term autonomy. ICRA 2012: 4022-4029 - [c1]Lionel Ott, Fabio Ramos:
Real-Time Clustering for Long-Term Autonomy. ISER 2012: 129-141
Coauthor Index
aka: Fabio Tozeto Ramos
aka: Victor J. F. Reijgwart
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