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Robotic arm control in Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
International Conferences and Journal on Computer Vision / Robotics
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
CRAVES: Controlling Robotic Arm with a Vision-based, Economic System
A PyTorch implementation of DenseNet.
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
我的超迷你机械臂机器人项目。
Code for reproducing experiments for the paper "Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion".
使用UR5机械臂&AG95夹爪执行给定位姿的抓取
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
A sphinx-based centralized documentation repo for MoveIt
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/
Python sample codes for robotics algorithms.
Image-to-Image Translation in PyTorch
A large-scale benchmark and learning environment.
The official implementation of SAGA (Segment Any 3D GAussians)
ROS components for grasping
using TCP/IP network comunication to control UR5 robot with a RG2 gripper
ur5+robotiq_85_gripper gazebo grasping
Asynchronous Reinforcement Learning for UR5 Robotic Arm
Related papers and codes for vision-based robotic grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.