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Found 3 papers, 1 papers with code
Benchmarking In-Hand Manipulation
The purpose of this benchmark is to evaluate the planning and control aspects of robotic in-hand manipulation systems.
Robotics
Unlocking the Potential of Simulators: Design with RL in Mind
We design a simulator for solving a pivoting task (of interest in Robotics) and demonstrate that even a simple simulator designed with RL in mind outperforms high-fidelity simulators when it comes to learning a policy that is to be deployed on a real robotic system.
Reinforcement Learning for Pivoting Task
In this work we propose an approach to learn a robust policy for solving the pivoting task.
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