Hao-Tien Lewis Chiang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Vehicle Navigation

Reinforcement Learning

Stochastic Dynamic

Motion Planning

Top Venues

IEEE Robotics Autom. Lett.

IEEE Trans. Robotics

Publications

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 (2024)
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 (2024)
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 (2023)
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)
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 (2023)
Tim Salzmann, Hao-Tien Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley
Robots That Can See: Leveraging Human Pose for Trajectory Prediction. IEEE Robotics Autom. Lett. 8 (11) (2023)
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 (2023)
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)
Hao-Tien Lewis Chiang, John E. G. Baxter, Satomi Sugaya, Mohammad R. Yousefi, Aleksandra Faust, Lydia Tapia
Fast deep swept volume estimator. Int. J. Robotics Res. 40 (10-11) (2021)
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 (2021)
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. IEEE Trans. Robotics 36 (4) (2020)
Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust, Lydia Tapia
Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance. IROS (2019)
Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies. IEEE Robotics Autom. Lett. 4 (4) (2019)
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 (2019)
Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis
Learning Navigation Behaviors End-to-End With AutoRL. IEEE Robotics Autom. Lett. 4 (2) (2019)
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 (2019)
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) (2018)
Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis
Learning Navigation Behaviors End to End. CoRR (2018)
Hao-Tien Lewis Chiang, Aleksandra Faust, Lydia Tapia
Deep Neural Networks for Swept Volume Prediction Between Configurations. CoRR (2018)
Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning. CoRR (2018)
Hao-Tien Lewis Chiang, Aleksandra Faust, Satomi Sugaya, Lydia Tapia
Fast Swept Volume Estimation with Deep Learning. WAFR (2018)
Hao-Tien Lewis Chiang, Baisravan HomChaudhuri, Abraham P. Vinod, Meeko Oishi, Lydia Tapia
Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions. ICRA (2017)
Torin Adamson, Meeko Oishi, Hao-Tien Lewis Chiang, Lydia Tapia
Busy beeway: a game for testing human-automation collaboration for navigation. MIG (2017)