Simulating physics is central to robotics: before a robot ever moves in the real world, much of its learning, testing, and control happens in a virtual environment. But traditional simulators often ...
dm_control.mujoco: Libraries that provide Python bindings to the MuJoCo physics engine. dm_control.suite: A set of Python Reinforcement Learning environments powered by the MuJoCo physics engine.
Abstract: Control algorithms rely on robot simulation platforms to evaluate the dynamics of the controlled robot. For legged robot simulators, the ability to handle contact and friction is fundamental ...
This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...
Abstract: In developing a visual servoing scheme, simulation is important for testing robot behavior and control algorithms in different surrounding environments. Robot Operating System 2 (ROS2) is an ...
RLzoo is a collection of the most practical reinforcement learning algorithms, frameworks and applications. It is implemented with Tensorflow 2.0 and API of neural network layers in TensorLayer2.0+, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results