ZikangXiong/mobrob
Mobile Robot Control via Goal-Conditioned Reinforcement Learning
This project offers a set of virtual environments for simulating various mobile robots like cars, drones, and quadruped 'doggo' robots, alongside pre-trained or customizable AI controllers. It takes in robot state information and desired goal positions, and outputs commands to guide the robot's movement. Robotics engineers and researchers can use this to experiment with and develop autonomous navigation systems in a simulated setting.
No commits in the last 6 months.
Use this if you are a robotics engineer or researcher developing and testing algorithms for mobile robot navigation and control in a simulated environment.
Not ideal if you are looking for a plug-and-play solution for controlling physical robots or if your primary interest is in high-fidelity visual rendering for simulations.
Stars
23
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 13, 2023
Commits (30d)
0
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