Abstract: Motion capture technology is crucial in various applications like animation, virtual reality and sports analysis. With the development of deep learning methods, significant progress has been ...

🐛 Debuggability and transparency: many things can go wrong in motion planning, so we log generously and store debugging information (IK solutions, alternative paths) to troubleshoot issues. 🧪 Enable ...

A computational physics approach to modeling rigid object motion using spring forces in Python. This focuses on how spring systems can approximate real-world rigid body behavior through numerical ...

This repo provides modular codebase in both python and cpp, to track a mule-led-trailer robot in any path of random shape, given its parametric equation. The path is converted to the Frenet-Serret ...