wanxinjin

wanxinjin's Stars

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21k1.2k264.3k

• JonathonLuiten/Dynamic3DGaussians

  Language:Python2k9341124

• casadi/casadi

  CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

  Language:C++1.7k563.3k386

• jslee02/awesome-collision-detection

  :sunglasses: A curated list of awesome collision detection libraries and resources

  88443783

• microsoft/ChatGPT-Robot-Manipulation-Prompts

  36310237

• wanxinjin/Pontryagin-Differentiable-Programming

  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.

  Language:Python1639423

• JeanElsner/panda-py

  Python bindings for real-time control of Franka Emika robots.

  Language:C++9232317

• asu-iris/Complementarity-Free-Dexterous-Manipulation

  State-of-the-art method for model-based dexterous manipulation

  Language:Python78302

• wanxinjin/Safe-PDP

  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.

  Language:Python71207

• Rory-WeiCheng/ESE-619-Model-Predictive-Control

  Lecture Slides, Personal Notes, Homework Solutions and Codes for ESE 619: Model Predictive Control 2023 Spring @ UPenn

  Language:C361010

• wanxinjin/Learning-from-Sparse-Demonstrations

  A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.

  Language:Python20215

• wanxinjin/Task-Driven-Hybrid-Reduction

  We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.

  Language:Python17102

• wanxinjin/Learning-from-Directional-Corrections

  A new method for a robot to learn a control objective from human user's directional corrections.

  Language:Python15202

• asu-iris/ContactSDF

  Language:Python130

• wanxinjin/IOC-from-Incomplete-Trajectory-Observations

  Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insights into objective learning process.

  Language:MATLAB12104

• DAIRLab/Learning-LCS

  A new learning formulation/method to learn/identify a piecewise linear system, also named as linear complementarity system.

  Language:Python7304

• asu-iris/course_robotics

  Language:HTML61

• asu-iris/Safe-MPC-Alignment

  Language:Python6200

• DAIRLab/c3

  Consensus Complementarity Control

  Language:C++6110

• wanxinjin/Learning-LCS

  A new learning formulation/method to learn/identify a piecewise linear system, also named as linear complementarity system.

  Language:Python5000

• Rory-WeiCheng/dairlib

  Forked from DAIRLab/dairlib, for C3 adaptive MPC experiments. Switch to admm_adaptive branch for current progress

  Language:C++3000

• wanxinjin/wanxinjin.github.io

  Language:JavaScript3101