Search Results for author:
Found 2 papers, 0 papers with code
Instance-Agnostic Geometry and Contact Dynamics Learning
This work presents an instance-agnostic learning framework that fuses vision with dynamics to simultaneously learn shape, pose trajectories, and physical properties via the use of geometry as a shared representation.
Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles
The resulted jumping mode is utilized in an autonomous navigation pipeline that leverages a search-based global planner and a local planner to enable the robot to reach the goal location by walking.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
