grasp_synergy_adapter
- Software
- Robot arms and industry
- Library
A ROS 2 adapter that drives multi-finger robot hands through predefined grasp synergies, mapping one normalized coordinate onto joint trajectories.
Source on GitHub: github.com/shkwon98/grasp_synergy_adapter (opens in a new tab). Facts read at commit ae2ab0a (opens in a new tab).
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (Apache-2.0) at commit ae2ab0a (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Each grasp profile is a piecewise-linear path through joint space, with knots sorted by normalized coordinate from 0.0 (preparation posture) to 1.0 (final grasp posture).
- Normalized commands are converted into joint trajectories, with intermediate knots preserved when opening and closing.
- Measured joint feedback is projected onto the selected grasp path.
- Each profile exposes a trajectory topic and a FollowJointTrajectory action; only one action may run across all grasp endpoints at a time.
- Commands are rejected until fresh feedback is available for every configured joint.
- Grasp profiles are defined in a YAML parameter file and validated without connected hardware.
Written by Robotheca from the project's README (opens in a new tab) at commit ae2ab0a.
Getting started
- Difficulty
- Intermediate
- Hardware it needs, as the project states it
- ROS 2 Jazzy on Ubuntu 24.04, built from source; a multi-finger hand running a ros2_control JointTrajectoryController. Binary packages are not yet published.
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 18 Sept 2026 on main
- Latest release
- None published on GitHub
Checked on GitHub on 16 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.