Lists (16)
Stars
off-policy algorithm utilizing offline and online data
[T-RO'24] Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Official code for [RAL 2025] "Learning Cross-Modal Visuomotor Policies for Autonomous Drone Navigation"
Autonomous Navigation and Collision Avoidance for Ground Robots
Official code and checkpoint release for "GNM: A General Navigation Model to Drive Any Robot".
A face and vehicle plates anonymizer for data privacy preserving.
A curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.
Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —
MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs
[CVPR 2025 Highlight] Towards Autonomous Micromobility through Scalable Urban Simulation
emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.
🔁 AMP-RSL-RL: Adversarial Motion Priors for robotic RL (PPO + motion imitation)
Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars
[Data&Tools] TPT-Bench: A Large-Scale, Long-Term and Robot-Egocentric Dataset for Benchmarking Target Person Tracking
Full Autonomy Stack for Diablo Setup
Isaac Lab implementation of AMP(Adversarial Motion Prior) with rl_games
NVIDIA Isaac GR00T N1.5 - A Foundation Model for Generalist Robots.
This is a repository for reinforcement learning implementation for Unitree robots, based on IsaacLab.
Visualize the trajectory of the drone in the video