TrackerLab
- Software
- Humanoids and robot learning
- Framework
A modular framework built on IsaacLab for humanoid motion retargeting, trajectory tracking, and skill-level control of whole-body robot motions.
Made by Renforce-Dynamics.
Source on GitHub: github.com/Renforce-Dynamics/trackerLab (opens in a new tab). Facts read at commit 1e5ccc0 (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 1e5ccc0 (opens in a new tab), on 22 Oct 2026.
- Commercial use
- Yes
What it does
- Plugs motion tracking into IsaacLab's simulation and control framework through manager-based abstractions.
- Converts SMPL, AMASS, and FBX human motion data into robot-specific trajectories, with T-pose alignment, filtering, and interpolation.
- Switches between several command control modes, such as whole-body pose control and PHC, through a CommandManager.
- Composes complex motion behaviors as FSM-based skill graphs, triggered manually, by a planner, or by a joystick.
- Registers custom Gym environments, including H1TrackAll, that run with IsaacLab's training and play scripts.
Written by Robotheca from the project's README (opens in a new tab) at commit 1e5ccc0.
Getting started
- Difficulty
- Advanced
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 31 Dec 2025 on master
- Latest release
- None published on GitHub
Checked on GitHub on 22 Oct 2026.
Links
Robots that can run 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.