om-ai-lab/OmTrackVLA
quality grade C, 55 out of 100Open & Reproducible Research for Tracking VLAs
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Robot learning, manipulation, autonomous driving, simulation and embodied agents.
Signals: robotics, ros, ros2, embodied-ai, autonomous-driving, self-driving-car, manipulation, drone
946 results
Open & Reproducible Research for Tracking VLAs
[RSS 2026] Code for RISE: Self-Improving Robot Policy with Compositional World Model
Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
Code for RoboFlamingo
A curated list of awesome knowledge-driven autonomous driving (continually updated)
[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
[CVPR 2025] RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete. Official Repository.
[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
VLA-0: Building State-of-the-Art VLAs with Zero Modification
Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.
Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
Modular, open-source implementations of continuous-time simultaneous localization and mapping algorithms.
sensor calibration tools for autonomous driving and robotics
Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
Modular open-source brain for legged robots. Web UI for teleops, autonomous navigation, mapping & monitoring. 3D-printable hardware that runs on ROS2.
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
Devkit and documentation for the NVIDIA Physical AI Autonomous Vehicles Dataset
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Online Robotics Master
Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution
Official ROS Driver for DepthAI Sensors.
[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.
24,523 repositories in the index in total.