Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
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Updated
Nov 9, 2021 - Python
Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
paper list of robotic grasping and some related works
Baxter Pick and Place using GR-ConvNet. IROS 2020.
Hector Quadrotor with MoveIt! Motion Planning Framework
myGym enables fast prototyping of RL in the area of robotic manipulation and navigation.You can train different robots, in several environments on various tasks. There is automatic evaluation and benchmark tool. From version 2.1 there is support for multi-step tasks, multi-reward training and multi-network architectures.
Robotic Manipulation - Learned in the Real World
NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers
The project demonstrates an advanced dynamic manipulation strategy by soft gripper called flex-and-flip. The technique is targeted at flexible, thin objects and applied to obtaining secure, pinch grasps on them.
Low-cost platform to explore concepts in robotic manipulation
The RObotic MAnipulation Network
Official PyTorch implementation of "Entity-Centric Reinforcement Learning for Object Manipulation from Pixels", Haramati et al., ICLR 2024
Robot Grasping in Cluttered Environment with DDPG&Affordance
Resources related to Technotix's workshop on Robot Navigation, Motion Planning, and Manipulation
Code for the paper Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation, IEEE RA-L, 2021
ICRA 2023: SEIL: Simulation-augmented Equivariant Imitation Learning
PyTorch code for Bayesian Scene Keypoints.
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