Pytorch implimentation of the paper: "Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input"

A differentiable LCP physics engine in PyTorch.

Powerful system-level package manager for Linux, macOS and Windows written in Rust – building on top of the Conda ecosystem.

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Cartesian impedance controller with reference limiting for Franka Emika Robot

求是Skill——从经典唯物辩证法与实践哲学中提炼出一条总原则和九大方法论工具武装AI大脑。Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually d…

TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, De…

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Real-time behaviour synthesis with MuJoCo, using Predictive Control

High-performance interior-point-method QP and QCQP solvers

Basic linear algebra subroutines for embedded optimization

Really Fast End-to-End Jax RL Implementations

A lightweight suite of motion imitation methods for training controllers.

Spot Micro Quadruped Project

ADMM ⊇ Projective Dynamics: Fast Simulation of Hyperelastic Models with Dynamic Constraints

Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

Implements the alternating direction method of multipliers and it's faster variants in python to optimize a quadratic program

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

ROB-GY 6003 Foundations of robotics

ROB2004 Robotics manipulation and locomotion

PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm

A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagrangian) and Proximal Policy Optimization Lagrangian

Massively Parallel Deep Reinforcement Learning. 🔥

This Repository contains the Python and Mujoco interactive code and simulation for Ubuntu Linux on Decentralized and multi agent control of Franka Emika Panda robot in continuous task execution

ROS 2 port of franka_ros for Franka Emika Robot (FER) Panda Robots, part of Agri-OpenCore (AOC) project

RL implementations

Obstacle avoidance around linear and nonlinear dynamics.

Official models of Franka Robotics GmbH robots

PyTorch implementation of SAC-Discrete.