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Yu Fan Chen
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2020 – today
- 2022
- [j3]Suhan Kim
, Yi Hsuan Hsiao
FireFly: An Insect-Scale Aerial Robot Powered by Electroluminescent Soft Artificial Muscles. IEEE Robotics Autom. Lett. 7(3): 6950-6957 (2022) - 2021
- [j2]Michael Everett
Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning. IEEE Access 9: 10357-10377 (2021)
2010 – 2019
- 2019
- [i4]Michael Everett, Yu Fan Chen, Jonathan P. How:
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning. CoRR abs/1910.11689 (2019) - 2018
- [c8]Michael Everett, Yu Fan Chen, Jonathan P. How:
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. IROS 2018: 3052-3059 - [i3]Michael Everett, Yu Fan Chen, Jonathan P. How:
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. CoRR abs/1805.01956 (2018) - 2017
- [c7]Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How:
Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning. ICRA 2017: 285-292 - [c6]Liam Paull, Jacopo Tani, Heejin Ahn
Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA 2017: 1497-1504 - [c5]Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How:
Socially aware motion planning with deep reinforcement learning. IROS 2017: 1343-1350 - [i2]Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How:
Socially Aware Motion Planning with Deep Reinforcement Learning. CoRR abs/1703.08862 (2017) - 2016
- [c4]Yu Fan Chen, Miao Liu, Jonathan P. How
Augmented dictionary learning for motion prediction. ICRA 2016: 2527-2534 - [c3]Yu Fan Chen, Shih-Yuan Liu, Miao Liu, Justin Miller, Jonathan P. How:
Motion planning with diffusion maps. IROS 2016: 1423-1430 - [i1]Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How:
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning. CoRR abs/1609.07845 (2016) - 2015
- [c2]Yu Fan Chen, Mark Cutler, Jonathan P. How
Decoupled multiagent path planning via incremental sequential convex programming. ICRA 2015: 5954-5961 - 2014
- [j1]N. Kemal Ure
Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations. J. Intell. Robotic Syst. 74(1-2): 529-544 (2014) - [c1]Yu Fan Chen, N. Kemal Ure
Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. ACC 2014: 1279-1285
Coauthor Index
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