stack-of-tasks / pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
stack-of-tasks / pinocchio
jslee02 / awesome-robotics-libraries
:sunglasses: A curated list of robotics libraries and software
petercorke / robotics-toolbox-matlab
Robotics Toolbox for MATLAB
pantor / ruckig
Motion Generation for Robots and Machines. Real-time. Jerk-constrained. Time-optimal.
petercorke / robotics-toolbox-python
Robotics Toolbox for Python
hanruihua / NeuPAN
[TRO 2025] NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning.
zefew6 / LearnOpt_Motion_Planning
Exploring Learning and Optimization for Robot Motion Planning and Control.
Unity-Technologies / Unity-Robotics-Hub
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
ompl / ompl
The Open Motion Planning Library (OMPL)
symforce-org / symforce
Fast symbolic computation, code generation, and nonlinear optimization for robotics
loco-3d / crocoddyl
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
gotonote / Autopilot-Notes
自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.
VANdexj / OmniRisk
OmniRisk: omnidirectional trajectory-risk learning for agile quadrotor dynamic avoidance. One forward pass scores every maneuver onboard; real-world evasion at up to 15 m/s.
snape / RVO2
Optimal Reciprocal Collision Avoidance (C++)
hungpham2511 / toppra
robotic motion planning library
mbreuss / diffusion-literature-for-robotics
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
snape / RVO2-CS
Optimal Reciprocal Collision Avoidance (C#)
cyberbotics / webots_ros2
Webots ROS 2 packages
kunalnk123690 / PathCover
PathCover enables fast convex decomposition along paths directly on point clouds using Randomized Iterative Space Partitioning (RISP). Built for real-time robotic navigation, it integrates mapping, path planning, trajectory optimization, and ROS/Gazebo simulations for aerial and ground robots.