Hao-Tien Chiang

According to our database, Hao-Tien Chiang authored at least 28 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.

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

CoRR, 2024

Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours.

Nikhil Churamani, Saksham Checker, Hao-Tien Lewis Chiang, Hatice Gunes

CoRR, 2024

2023

Robots That Can See: Leveraging Human Pose for Trajectory Prediction.

Tim Salzmann, Hao-Tien Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley

IEEE Robotics Autom. Lett., November, 2023

Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios.

Qiping Zhang, Nathan Tsoi, Booyeon Choi, Jie Tan, Hao-Tien Lewis Chiang, Marynel Vázquez

CoRR, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.

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

CoRR, 2023

Language to Rewards for Robotic Skill Synthesis.

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

Proceedings of the Conference on Robot Learning, 2023

2022

Scene Transformer: A unified architecture for predicting future trajectories of multiple agents.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Fast deep swept volume estimator.

Hao-Tien Lewis Chiang, John E. G. Baxter, Satomi Sugaya, Mohammad R. Yousefi, Aleksandra Faust, Lydia Tapia

Int. J. Robotics Res., 2021

Scene Transformer: A unified multi-task model for behavior prediction and planning.

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

CoRR, 2021

2020

Long-Range Indoor Navigation With PRM-RL.

Anthony G. Francis, Aleksandra Faust, Hao-Tien Lewis Chiang, Jasmine Hsu, J. Chase Kew, Marek Fiser, Tsang-Wei Edward Lee

IEEE Trans. Robotics, 2020

2019

RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies.

Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust

IEEE Robotics Autom. Lett., 2019

Learning Navigation Behaviors End-to-End With AutoRL.

Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis

IEEE Robotics Autom. Lett., 2019

Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance.

Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust, Lydia Tapia

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

COLREG-RRT: An RRT-Based COLREGS-Compliant Motion Planner for Surface Vehicle Navigation.

Hao-Tien Lewis Chiang, Lydia Tapia

IEEE Robotics Autom. Lett., 2018

PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning.

Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia

CoRR, 2018

Learning Navigation Behaviors End to End.

Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis

CoRR, 2018

Deep Neural Networks for Swept Volume Prediction Between Configurations.

Hao-Tien Lewis Chiang, Aleksandra Faust, Lydia Tapia

CoRR, 2018

Fast Swept Volume Estimation with Deep Learning.

Hao-Tien Lewis Chiang, Aleksandra Faust, Satomi Sugaya, Lydia Tapia

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

2017

Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field.

Nick Malone, Hao-Tien Chiang, Kendra Lesser, Meeko Oishi, Lydia Tapia

IEEE Trans. Robotics, 2017

Busy beeway: a game for testing human-automation collaboration for navigation.

Torin Adamson, Meeko Oishi, Hao-Tien Lewis Chiang, Lydia Tapia

Proceedings of the Tenth International Conference on Motion in Games, 2017

Safety, Challenges, and Performance of Motion Planners in Dynamic Environments.

Hao-Tien Chiang, Baisravan HomChaudhuri, Lee Smith, Lydia Tapia

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions.

Hao-Tien Lewis Chiang, Baisravan HomChaudhuri, Abraham P. Vinod, Meeko Oishi, Lydia Tapia

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Runtime SES planning: Online motion planning in environments with stochastic dynamics and uncertainty.

Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning.

Aleksandra Faust, Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Stochastic Ensemble Simulation motion planning in stochastic dynamic environments.

Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments.

Hao-Tien Chiang, Nick Malone, Kendra Lesser, Meeko Oishi, Lydia Tapia

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Aggressive Moving Obstacle Avoidance Using a Stochastic Reachable Set Based Potential Field.

Hao-Tien Chiang, Nick Malone, Kendra Lesser, Meeko M. K. Oishi, Lydia Tapia

Proceedings of the Algorithmic Foundations of Robotics XI, 2014

2011

I-m-Walk - Interactive Multimedia Walking-aware System.

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

Proceedings of the HEALTHINF 2011, 2011