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20162023
most citedCollision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning

240 citations · 364 across the 22 of their papers we have counts for

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Showing cs.ROShow all

12 papers · 1 filter

cs.RO2023★ 1 cited

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy

Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma +7

Traversing terrain with good traction is crucial for achieving fast off-road navigation. Instead of manually designing costs based on terrain features, existing methods learn terra…

cs.RO2023★ 16 cited

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…

cs.RO2022

RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation

Lakshay Sharma, Michael Everett, Donggun Lee +3

A key challenge in fast ground robot navigation in 3D terrain is balancing robot speed and safety. Recent work has shown that 2.5D maps (2D representations with additional 3D infor…

cs.RO2022★ 3 cited

Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments

Xiaoyi Cai, Michael Everett, Lakshay Sharma +2

A key challenge in off-road navigation is that even visually similar terrains or ones from the same semantic class may have substantially different traction properties. Existing wo…

cs.RO2022★ 1 cited

Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map

Xiaoyi Cai, Michael Everett, Jonathan Fink +1

Motion planning in off-road environments requires reasoning about both the geometry and semantics of the scene (e.g., a robot may be able to drive through soft bushes but not a fal…

cs.RO2021★ 3 cited

Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians

Bruno Brito, Michael Everett, Jonathan P. How +1

Robotic navigation in environments shared with other robots or humans remains challenging because the intentions of the surrounding agents are not directly observable and the envir…