OpenTTD/OpenTTD
quality grade A, 82 out of 100OpenTTD is an open source simulation game based upon Transport Tycoon Deluxe
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Robot learning, manipulation, autonomous driving, simulation and embodied agents.
Signals: robotics, ros, ros2, embodied-ai, autonomous-driving, self-driving-car, manipulation, drone
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OpenTTD is an open source simulation game based upon Transport Tycoon Deluxe
Open source hardware and software platform to build a small scale self driving car.
ROS2 TensorRT Node for Monocular Metric Depth estimation and Point Cloud generation from camera images with Depth Anything V3
RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
A flexible, high-performance 3D simulator for Embodied AI research.
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
Reinforcement learning algorithms for MuJoCo tasks
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
This is a list of relevant papers for 3D Geometric Foundation Models and Applications.
A method for training neural networks that are provably robust to adversarial attacks.
Distributionally robust neural networks for group shifts
robopal: a multi-platform, modular robot simulation framework based on MuJoCo, mainly used for reinforcement learning and control algorithm implementation of robotic arms.
[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.
Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning
WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
Hardware hacker’s flying probe automation stack for agent-driven target discovery, microscope mapping, safety-monitored CNC motion, probe review, and controlled pin probing.
[IEEE TEVC] Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges
Open Platform for Embodied Agents
COVINS-(G) -- A (Generic) Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping
An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
[ICLR 2024] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
24,523 repositories in the index in total.