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InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
[AAAI'26 Oral] DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
[IROS 2025 Best Paper Award Finalist & IEEE TRO 2026] The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
Simulation platform for general-purpose robotics & embodied AI learning.
Trial version for prs platform (python project). Please note that the complete experience requires downloading the Unity resource.
[RSS 2024] Learning Manipulation by Predicting Interaction
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
A universal summary of current robotics simulators
✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
Polar Scientific Research Station: Why do we need a virtual socialized environment for next-generation embodied robot exploration under embodied Turing test?
研究资源列表 A curated list of research resources
The official implementation of the paper "Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation". [ICCV 2023]
This is the official implementation of the paper "Leveraging SE(3)-Equivariance for Learning 3D Geometric Shape Assembly" (ICCV 2023)
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
[NeurIPS 2023] GenPose: Generative Category-Level Object Pose Estimation via Diffusion Models
Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model
NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
Painter & SegGPT Series: Vision Foundation Models from BAAI