Robust and Modular Multi-Limb Synchronization in Motion Stack for Space Robots with Trajectory Clamping via Hypersphere
Not on the map. Why?
Abstract (arXiv)
Modular robotics holds immense potential for space exploration, where reliability, repairability, and reusability are critical for cost-effective missions. Coordination between heterogeneous units is paramount for precision tasks -- whether in manipulation, legged locomotion, or multi-robot interaction. Such modular systems introduce challenges far exceeding those in monolithic robot architectures. This study presents a robust method for synchronizing the trajectories of multiple heterogeneous actuators, adapting dynamically to system variations with minimal system knowledge. This design makes it inherently robot-agnostic, thus highly suited for modularity. To ensure smooth trajectory adherence, the multidimensional state is constrained within a hypersphere representing the allowable deviation. The distance metric can be adapted hence, depending on the task and system under control, deformation of the constraint region is possible. This approach is compatible with a wide range of robotic platforms and serves as a core interface for Motion-Stack, our new open-source universal framework for limb coordination (available at https://github.com/2lian/Motion-Stack ). The method is validated by synchronizing the end-effectors of six highly heterogeneous robotic limbs, evaluating both trajectory adherence and recovery from significant external disturbances.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Jul 2025.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025MoonBot: Modular and On-Demand Reconfigurable Robot Toward Moon Base Constructioncited by 2
- 2025Multi-Modal Decentralized Reinforcement Learning for Modular Reconfigurable Lunar Robotscited by 1
- 2026Distributed Multi Robot Lunar Cargo Transportation via Phase Decomposed Reinforcement Learningcited by 0
- 2026Distributed Multi Robot Lunar Cargo Transportation via Phase Decomposed Reinforcement Learning30 Jun 2026
- 2025MoonBot: Modular and On-Demand Reconfigurable Robot Toward Moon Base Construction26 Dec 2025
- 2025Multi-Modal Decentralized Reinforcement Learning for Modular Reconfigurable Lunar Robots23 Oct 2025