robosuite
- Software
- Simulators
- Simulator
robosuite is a modular simulation framework built on the MuJoCo physics engine for robot learning, with a suite of benchmark manipulation environments for reproducible research.
Made by ARISE Initiative.
Source on GitHub: github.com/ARISE-Initiative/robosuite (opens in a new tab). Facts read at commit 5ce6643 (opens in a new tab).
Licenses
- Code
- MIT (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit 5ce6643 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Provides standardized manipulation benchmark tasks of varying complexity, with reinforcement learning benchmarking results.
- Offers modular APIs to build new environments, robot embodiments, and controllers through procedural generation.
- Includes a selection of robot controllers such as joint-space velocity, inverse kinematics, operational space, and whole body control.
- Supports teleoperation with devices including keyboard, spacemouse, and MuJoCo viewer drag-drop.
- Supplies multi-modal sensors such as physical states, RGB cameras, depth maps, and proprioception.
- Includes utilities for collecting, replaying, and learning from human demonstrations, with a sister project robomimic.
Written by Robotheca from the project's README (opens in a new tab) at commit 5ce6643.
Getting started
- Difficulty
- Intermediate
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 12 Jul 2026 on master
- Latest release
- v1.5.2 (24 Dec 2025)
Checked on GitHub on 16 Oct 2026.
Links
Robots on Robotheca that use it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.