Popular GitHub Repositories for Robotics Control

Dynamic movement primitives (DMPs) are a method of trajectory control/planning from Stefan Schaal’s lab. Complex movements have long been thought to be composed of sets of primitive action ‘building blocks’ executed in sequence and \ or in parallel, and DMPs are a proposed mathematical formalization of these primitives. The difference between DMPs and previously proposed building blocks is that each DMP is a nonlinear dynamical system. The basic idea is that you take a dynamical system with well specified, stable behavior and add another term that makes it follow some interesting trajectory as it goes about its business. The DMP differential equations (Transformation System, Canonical System, Non-linear Function) realize a general way of generating point-to-point movements. Imitation learning using linear regression is performed to com

Environment for coverage control and learning using GNN

A journey through robotic infrastructure; the ILIAD lab's stack for robotic demonstration collection, policy training, perception, and natural language.

Machine learning robotics engineer preparation material.

Development of adaptive control algorithms for the automatic adjustment of the level of assistance to be provided to the patient in rehabilitation on the basis of the interpretation of movement intentions and the progress made in the recovery of motor functions. The platform of interest is Kuka MED Robot.

Abscissa is a video classification and robotic arm control system that integrates CNN, LSTM, and ViT to analyze videos and trigger corresponding robotic movements.