Hao-Tien Lewis Chiang

Learning Navigation Behaviors End-to-End With AutoRL

Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fišer et al. · IEEE Robotics and Automation Letters · 2019 · 228 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

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

Nick Malone, Hao-Tien Lewis Chiang, Kendra Lesser et al. · IEEE Transactions on Robotics · 2017 · 167 citations

Engineering, Field Robotics, Intelligent Robotics +18

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

Hao-Tien Lewis Chiang, Lydia Tapia · IEEE Robotics and Automation Letters · 2018 · 137 citations

Engineering, Ship Maneuvering, Field Robotics +19

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

Hao-Tien Lewis Chiang, Nick Malone, Kendra Lesser et al. · 2015 · 128 citations

Engineering, Field Robotics, Dynamic Environments +20

Scene Transformer: A unified architecture for predicting multiple agent\n trajectories

Jiquan Ngiam, Benjamin Caine, Vijay K. Vasudevan et al. · arXiv (Cornell University) · 2021 · 53 citations · Full text