ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
- character-animation
- digital-human
- humanoid
- humanoid-robots
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ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Advanced implementation of LOAM
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
A LiDAR odometry pipeline that just works
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
3D LIDAR-based Graph SLAM
MIT Cheetah I Implementation
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
:zap: The Mobile Robot Programming Toolkit (MRPT)
Index repo for Kimera code
GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
:robot: The MoveIt motion planning framework
NVIDIA Alpamayo 1 Nano is an open 10B reasoning VLA model for autonomous vehicles that pairs driving trajectories with Chain-of-Causation reasoning.
A collection of robotics simulation environments for reinforcement learning
Learn autonomous driving by building it: Python simulations and an open textbook where the system grows one stage at a time. Swap and compare localization, planning and control algorithms in the same system.
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Real-time dense visual SLAM system
GLIM: versatile and extensible point cloud-based 3D localization and mapping framework
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
CUDA-accelerated visual odometry and SLAM library for fast, accurate, low-latency camera tracking