StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Re-implementation of pi0 vision-language-action (VLA) model from Physical Intelligence

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo, and OpenVLA) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)

A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites

[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".

[IJCAI 2023] Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose Installation

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

Code for "Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks"

Masked Surfel Prediction for Self-Supervised Point Cloud Learning

Awesome work on object 6 DoF pose estimation

Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Code for "DualPoseNet: Category-level 6D Object Pose and Size EstimationUsing Dual Pose Network with Refined Learning of Pose Consistency"

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…

The code for AAAI 2020 paper "Cascading Convolutional Color Constancy"

A list of papers and datasets about point cloud analysis (processing)