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Hao-Tien Chiang
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2020 – today
- 2024
- [i11]Nikhil Churamani, Saksham Checker, Hao-Tien Lewis Chiang, Hatice Gunes:
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours. CoRR abs/2405.15773 (2024) - [i10]Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan:
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. CoRR abs/2407.07775 (2024) - 2023
- [j7]Tim Salzmann
, Hao-Tien Lewis Chiang
Robots That Can See: Leveraging Human Pose for Trajectory Prediction. IEEE Robotics Autom. Lett. 8(11): 7090-7097 (2023) - [c13]Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia:
Language to Rewards for Robotic Skill Synthesis. CoRL 2023: 374-404 - [i9]Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia:
Language to Rewards for Robotic Skill Synthesis. CoRR abs/2306.08647 (2023) - [i8]Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin:
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR abs/2306.16740 (2023) - [i7]Qiping Zhang, Nathan Tsoi, Booyeon Choi, Jie Tan, Hao-Tien Lewis Chiang, Marynel Vázquez:
Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios. CoRR abs/2310.11590 (2023) - 2022
- [c12]Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J. Weiss, Ben Sapp, Zhifeng Chen, Jonathon Shlens:
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 2022 - 2021
- [j6]Hao-Tien Lewis Chiang
Fast deep swept volume estimator. Int. J. Robotics Res. 40(10-11) (2021) - [i6]Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens:
Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR abs/2106.08417 (2021) - 2020
- [j5]Anthony G. Francis
Long-Range Indoor Navigation With PRM-RL. IEEE Trans. Robotics 36(4): 1115-1134 (2020)
2010 – 2019
- 2019
- [j4]Hao-Tien Lewis Chiang
Learning Navigation Behaviors End-to-End With AutoRL. IEEE Robotics Autom. Lett. 4(2): 2007-2014 (2019) - [j3]Hao-Tien Lewis Chiang
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies. IEEE Robotics Autom. Lett. 4(4): 4298-4305 (2019) - [c11]Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust
Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance. IROS 2019: 3534-3541 - [i5]Anthony G. Francis, Aleksandra Faust, Hao-Tien Lewis Chiang, Jasmine Hsu, J. Chase Kew, Marek Fiser, Tsang-Wei Edward Lee:
Long-Range Indoor Navigation with PRM-RL. CoRR abs/1902.09458 (2019) - [i4]Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust:
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies. CoRR abs/1907.04799 (2019) - 2018
- [j2]Hao-Tien Lewis Chiang, Lydia Tapia
COLREG-RRT: An RRT-Based COLREGS-Compliant Motion Planner for Surface Vehicle Navigation. IEEE Robotics Autom. Lett. 3(3): 2024-2031 (2018) - [c10]Hao-Tien Lewis Chiang, Aleksandra Faust
Fast Swept Volume Estimation with Deep Learning. WAFR 2018: 52-68 - [i3]Hao-Tien Lewis Chiang, Aleksandra Faust, Lydia Tapia:
Deep Neural Networks for Swept Volume Prediction Between Configurations. CoRR abs/1805.11597 (2018) - [i2]Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis:
Learning Navigation Behaviors End to End. CoRR abs/1809.10124 (2018) - [i1]Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia:
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning. CoRR abs/1811.12651 (2018) - 2017
- [j1]Nick Malone, Hao-Tien Chiang, Kendra Lesser, Meeko Oishi
Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field. IEEE Trans. Robotics 33(5): 1124-1138 (2017) - [c9]Hao-Tien Lewis Chiang, Baisravan HomChaudhuri, Abraham P. Vinod
Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions. ICRA 2017: 3762-3769 - [c8]Hao-Tien Chiang, Baisravan HomChaudhuri, Lee Smith, Lydia Tapia:
Safety, Challenges, and Performance of Motion Planners in Dynamic Environments. ISRR 2017: 793-808 - [c7]Torin Adamson, Meeko Oishi
Busy beeway: a game for testing human-automation collaboration for navigation. MIG 2017: 9:1-9:6 - 2016
- [c6]Aleksandra Faust
Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning. ICRA 2016: 484-490 - [c5]Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia:
Runtime SES planning: Online motion planning in environments with stochastic dynamics and uncertainty. IROS 2016: 4802-4809 - 2015
- [c4]Hao-Tien Chiang, Nick Malone, Kendra Lesser, Meeko Oishi
Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments. ICRA 2015: 2347-2354 - [c3]Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia:
Stochastic Ensemble Simulation motion planning in stochastic dynamic environments. IROS 2015: 3836-3843 - 2014
- [c2]Hao-Tien Chiang, Nick Malone, Kendra Lesser, Meeko M. K. Oishi
Aggressive Moving Obstacle Avoidance Using a Stochastic Reachable Set Based Potential Field. WAFR 2014: 73-89 - 2011
- [c1]Meng-Chieh Yu, Cheng-Chih Tsai, Shih-Ta Liu, Hao-Tien Chiang, Ying-Chieh Tseng, Wei-Ting Chen, Wan-Wei Teo, Mike Y. Chen, Ming-Sui Lee, Yi-Ping Hung:
I-m-Walk - Interactive Multimedia Walking-aware System. HEALTHINF 2011: 17-26
Coauthor Index
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