The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
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Updated
Mar 28, 2025 - Python
The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers
Official implementation of "Data Scaling Laws in Imitation Learning for Robotic Manipulation"
Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223
NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"
Baxter Pick and Place using GR-ConvNet. IROS 2020.
Official implementation of paper on Nature Machine Intelligence: "Preserving and Combining Knowledge in Robotic Lifelong Reinforcement Learning"
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
VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation (CoRL 2024)
A collection of RL gymnasium environments for learning to grasp 3D deformable objects.
Official Code for SGRv2 and SGR.
Official PyTorch implementation of "Entity-Centric Reinforcement Learning for Object Manipulation from Pixels", Haramati et al., ICLR 2024
[ICRA 2024] SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs
mBEST: Realtime detection of DLOs via minimal bending energy skeleton pixel traversals
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
Deep Robotic Grasping using Generative Residual Convolutional Neural Networks that can generate robust antipodal grasps from RGB-D input images at real-time
Low-cost platform to explore concepts in robotic manipulation
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