Ground Segmentation, Floor Segmentation

C++ implementation of the Coherent Point Drift point set registration algorithm.

Integrate the DeepSeek API into popular softwares

[ICCV 2025 Highlight] OminiControl: Minimal and Universal Control for Diffusion Transformer

[RA-L 26] Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation

This repository will host the official implementation of the paper: Communication-Robust Asynchronous Distributed LiDAR Collaborative Smoothing and Mapping

Full Autonomy Stack for Diablo Setup

[3DV 2026] ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association

[T-RO 2025] Autonomous Flights Inside Narrow Tunnels

A coverage path planning algorithm that combines multiple search algorithms to find a full coverage trajectory with the lowest cost.

Visual SLAM for Mobile Robots with Vision Transformer(ViT)

Official code of Motus: A Unified Latent Action World Model

[Hi-Beginner] The Embodied/Humanoid Intelligence Introductory Practice of OpenMOSS Lab (Fudan&SII)

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

Dexterous World Models

Multi-Mapcher: Loop closure detection-free heterogeneous LiDAR multi-session SLAM leveraging outlier-robust registration for autonomous vehicles (T-IV)

ACE-SLAM: Scene Coordinate Regression for Real-Time SLAM

An open source Drone Suite for Aerial Robot

This is a compression technique that targets for LiDAR-generated point cloud

GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF Fusion

OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS

[ICCV 2025] Official Implementation of "Online Language Splatting"

Describe Anything, Anywhere, at Any Moment (DAAAM), a novel approach to real-time, large-scale, spatio-temporal memory

Dynamic Visual SLAM using a General 3D Prior

Make your calibration dreams come true. ros2_calib is a Multi-Sensor Calibration Tool using ROS2 mcap recordings with direct URDF export.

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN