39 citations · 88 across the 8 of their papers we have counts for
9 papers
Language to Rewards for Robotic Skill Synthesis
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu +17
Large language models (LLMs) have demonstrated exciting progress in acquiring diverse new capabilities through in-context learning, ranging from logical reasoning to code-writing.…
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
Anthony Francis, Claudia Pérez-D'Arpino, Chengshu Li +28
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation ha…
Scene Transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan +11
Predicting the motion of multiple agents is necessary for planning in dynamic environments. This task is challenging for autonomous driving since agents (e.g. vehicles and pedestri…
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser +2
This paper addresses two challenges facing sampling-based kinodynamic motion planning: a way to identify good candidate states for local transitions and the subsequent computationa…
Long-Range Indoor Navigation with PRM-RL
Anthony Francis, Aleksandra Faust, Hao-Tien Lewis Chiang +4
Long-range indoor navigation requires guiding robots with noisy sensors and controls through cluttered environments along paths that span a variety of buildings. We achieve this wi…
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning
Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia
Robot motion planning often requires finding trajectories that balance different user intents, or preferences. One of these preferences is usually arrival at the goal, while anothe…