2 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience
Haresh Karnan, Elvin Yang, Daniel Farkash +3
Terrain awareness, i.e., the ability to identify and distinguish different types of terrain, is a critical ability that robots must have to succeed at autonomous off-road navigatio…
Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning
Haresh Karnan, Elvin Yang, Garrett Warnell +2
Autonomous mobility tasks such as lastmile delivery require reasoning about operator indicated preferences over terrains on which the robot should navigate to ensure both robot saf…
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022
Xuesu Xiao, Zifan Xu, Zizhao Wang +14
The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at the 2022 IEEE International Conference on Robotics and Automation (ICRA 2022) in Philadelphia, PA. The aim…