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Found 6 papers, 0 papers with code
Learning Force Control for Legged Manipulation
We propose a method for training RL policies for direct force control without requiring access to force sensing.
Visual Whole-Body Control for Legged Loco-Manipulation
We propose a framework that can conduct the whole-body control autonomously with visual observations.
Expressive Whole-Body Control for Humanoid Robots
Can we enable humanoid robots to generate rich, diverse, and expressive motions in the real world?
Learning to See Physical Properties with Active Sensing Motor Policies
We show that the visual system trained with a small amount of real-world traversal data accurately predicts physical parameters.
DribbleBot: Dynamic Legged Manipulation in the Wild
DribbleBot (Dexterous Ball Manipulation with a Legged Robot) is a legged robotic system that can dribble a soccer ball under the same real-world conditions as humans (i. e., in-the-wild).
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot
Developing algorithms to enable a legged robot to shoot a soccer ball to a given target is a challenging problem that combines robot motion control and planning into one task.
