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Found 7 papers, 2 papers with code
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
Robots need to explore their surroundings to adapt to and tackle tasks in unknown environments.
Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing
In this paper, we introduce a system that leverages visual and tactile sensory inputs to enable dexterous in-hand manipulation.
AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
For real-world experiments, AnyTeleop can outperform a previous system that was designed for a specific robot hardware with a higher success rate, using the same robot.
Rotating without Seeing: Towards In-hand Dexterity through Touch
Relying on touch-only sensing, we can directly deploy the policy in a real robot hand and rotate novel objects that are not presented in training.
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation
We empirically evaluate our method using an Allegro Hand to grasp novel objects in both simulation and real world.
Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations
We will first convert the large-scale human-object interaction trajectories to robot demonstrations via motion retargeting, and then use these demonstrations to train CGF.
