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University of Michigan
- Ann Arbor, MI
- https://linden713.github.io/
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SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Motion imitation with deep reinforcement learning.
This is a repository for reinforcement learning implementation for Unitree robots, based on IsaacLab.
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
A Python framework for accelerated simulation, data generation and spatial computing.
LIO-SAM源码详细注释,3D SLAM融合激光、IMU、GPS
mintar / imu_utils
Forked from gaowenliang/imu_utilsA ROS package tool to analyze the IMU performance.
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
Reference workflow for generating large amounts of synthetic motion trajectories for robot manipulation from a few human demonstrations.
[IROS 2024] Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. [CoRL 2024] OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
Create committing rules for projects 🚀 auto bump versions ⬆️ and auto changelog generation 📂
This repository contains a collection of resources and papers on Diffusion Models for Robotic Manipulation.
🚀 A collection of utilities and tools for LeRobot.
python library for converting tactile images into shear fields
Kin-Zhang / ORB_SLAM3
Forked from UZ-SLAMLab/ORB_SLAM3(用以后续实验) ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.