Hao-Tien Lewis Chiang

27 papers A* 2A 1C 2Misc 2Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Few-Shot Inference of Human Perceptions of Robot Performance in Social Navigation Scenarios. CoRR Qiping Zhang, Nathan Tsoi, Mofeed Nagib, Hao-Tien Lewis Chiang, Marynel Vázquez
2025	J	`jnl`	Predicting Human Perceptions of Robot Performance during Navigation Tasks. ACM Trans. Hum. Robot Interact. Qiping Zhang, Nathan Tsoi, Mofeed Nagib, Booyeon Choi, Jie Tan, Hao-Tien Lewis Chiang, Marynel Vázquez
2025	J	`jnl`	Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. ACM Trans. Hum. Robot Interact. 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 Martín-Martín
2024	J	`jnl`	Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours. CoRR Nikhil Churamani, Saksham Checker, Hao-Tien Lewis Chiang, Hatice Gunes
2024	Misc	`conf`	Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. CoRL Zhuo Xu, Hao-Tien Lewis Chiang, 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
2024	J	`jnl`	Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. CoRR 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
2023	Misc	`conf`	Language to Rewards for Robotic Skill Synthesis. CoRL 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
2023	J	`jnl`	Language to Rewards for Robotic Skill Synthesis. CoRR 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
2023	J	`jnl`	Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR 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
2023	J	`jnl`	Robots That Can See: Leveraging Human Pose for Trajectory Prediction. IEEE Robotics Autom. Lett. Tim Salzmann, Hao-Tien Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley
2023	J	`jnl`	Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios. CoRR Qiping Zhang, Nathan Tsoi, Booyeon Choi, Jie Tan, Hao-Tien Lewis Chiang, Marynel Vázquez
2022	A*	`conf`	Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 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
2021	J	`jnl`	Fast deep swept volume estimator. Int. J. Robotics Res. Hao-Tien Lewis Chiang, John E. G. Baxter, Satomi Sugaya, Mohammad R. Yousefi, Aleksandra Faust, Lydia Tapia
2021	J	`jnl`	Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR 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
2020	J	`jnl`	Long-Range Indoor Navigation With PRM-RL. IEEE Trans. Robotics Anthony G. Francis, Aleksandra Faust, Hao-Tien Lewis Chiang, Jasmine Hsu, J. Chase Kew, Marek Fiser, Tsang-Wei Edward Lee
2019	A	`conf`	Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance. IROS Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust, Lydia Tapia
2019	J	`jnl`	Learning Navigation Behaviors End-to-End With AutoRL. IEEE Robotics Autom. Lett. Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis
2019	J	`jnl`	Long-Range Indoor Navigation with PRM-RL. CoRR Anthony G. Francis, Aleksandra Faust, Hao-Tien Lewis Chiang, Jasmine Hsu, J. Chase Kew, Marek Fiser, Tsang-Wei Edward Lee
2019	J	`jnl`	RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies. IEEE Robotics Autom. Lett. Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust
2019	J	`jnl`	RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies. CoRR Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust
2018	J	`jnl`	COLREG-RRT: An RRT-Based COLREGS-Compliant Motion Planner for Surface Vehicle Navigation. IEEE Robotics Autom. Lett. Hao-Tien Lewis Chiang, Lydia Tapia
2018	J	`jnl`	Deep Neural Networks for Swept Volume Prediction Between Configurations. CoRR Hao-Tien Lewis Chiang, Aleksandra Faust, Lydia Tapia
2018	C	`conf`	Fast Swept Volume Estimation with Deep Learning. WAFR Hao-Tien Lewis Chiang, Aleksandra Faust, Satomi Sugaya, Lydia Tapia
2018	J	`jnl`	Learning Navigation Behaviors End to End. CoRR Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis
2018	J	`jnl`	PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning. CoRR Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia
2017	C	`conf`	Busy beeway: a game for testing human-automation collaboration for navigation. MIG Torin Adamson, Meeko Oishi, Hao-Tien Lewis Chiang, Lydia Tapia
2017	A*	`conf`	Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions. ICRA Hao-Tien Lewis Chiang, Baisravan Homchaudhuri, Abraham P. Vinod, Meeko Oishi, Lydia Tapia