A high-performance runtime framework for modern robotics.

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

[RAL 2024] OpenGraphs: Open-Vocabulary Hierarchical 3D Scene Graphs in Large-Scale Outdoor Environments

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

[ICRA2024] Collaborative Dynamic 3D Scene Graphs for Automated Driving

[2023 IROS] HORCL : Robust Multi-robot Collaborative Localization in High Outlier ratio Scenes

EmbodiedSAM: Online Segment Any 3D Thing in Real Time

[CoRL2023] Open-Vocabulary Scene-Graph

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI

ROS compatible tool to generate Allan Deviation plots

Code for "SAM-guided Graph Cut for 3D Instance Segmentation" ECCV 2024

Official code release for ConceptGraphs

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot contr…

Speech, Language, Audio, Music Processing with Large Language Model

Use OpenAI GPTs for Free: https://gptcall.net/

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Official code for the paper: Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld

[CVPR 2024 & NeurIPS 2024] EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI

Instruct-tune LLaMA on consumer hardware

PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"