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Dynamical movement primitives (DMPs), probabilistic movement primitives (ProMPs), and spatially coupled bimanual DMPs for imitation learning.
Augmented Joint-space Task-oriented Dynamical Systems
Python sample codes for robotics algorithms.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Simple Python interface to the Delsys wireless EMG system
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Train a robot to see the environment and autonomously perform different tasks
Code for the paper Continual Learning from Demonstration of Robotic Skills
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Implementation of the paper https://arxiv.org/abs/1603.00448.
EKFPnP: A new probabilistic approach based on Extended Kalman Filter for camera pose estimation in image sequences
Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)
This repository contains codes of ICCV2021 paper: SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Real-time robotic object pose estimation with deep learning
Rigidity-Aware Detection for 6D Object Pose Estimation (CVPR 2023)
URDF and SDF descriptions of Shadow Hand compatible with Ignition
[3DV 2022 (Oral)] Pytorch implementation of "PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking" paper
GRAB: A Dataset of Whole-Body Human Grasping of Objects
Build your neural network easy and fast, 莫烦Python中文教学
PyTorch Tutorial for Deep Learning Researchers