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robotlearning123 / dual_ur5_husky_mujoco
Forked from husky/huskyDual UR5 Husky Robot MuJoCo Model
Mujoco Control Suite for Bimanual Manipulation
RoboPanoptes: The All-Seeing Robot with Whole-body Dexterity
Official implementation for paper "Adaptive Compliance Policy Learning Approximate Compliance for Diffusion Guided Control".
6D Cartesian space hybrid force-velocity control using positional inner loop and wrist mounted FT sensor.
DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
Official implementation of Diffusion Policy Policy Optimization, arxiv 2024
[RSS 2023] Official code for "Goal Conditioned Imitation Learning using Score-based Diffusion Policies"
[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Collection of reinforcement learning algorithms
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
[CVPR 2022 Oral] Robust and Accurate Superquadric Recovery: a Probabilistic Approach
Access 100+ robot descriptions from the main Python robotics frameworks
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
ROS node for camera module of Raspberry Pi
[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Official repository of "Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing"
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
[3DV 2025] Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann
Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024