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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
The main features of loco-3d/crocoddyl are: Motion Planning, Robotics Libraries.
Projects with overlapping indexed features include: ompl/ompl — The Open Motion Planning Library (OMPL). fields2cover/fields2cover — Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path… ros-navigation/navigation2 — Navigation2 is a ROS 2 navigation framework for autonomous mobile robots. It provides the core identity of a path… pcrnjak/parol6-desktop-robot-arm — This project provides a complete set of design files and hardware specifications for a 3D-printable industrial-style… opendrivelab/uniad — UniAD is a unified deep learning framework for autonomous driving that integrates perception, prediction, and planning… fdevinc/ungar — Simplifying optimal control with metaprogramming.
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
This project provides a complete set of design files and hardware specifications for a 3D-printable industrial-style robot arm. The system includes a CAN bus robot controller for managing stepper motors and sensors, a kinematics engine for calculating joint angles and poses, and a UDP-based Python API for sending motion commands and monitoring telemetry. The system features a force-controlled robotic gripper that utilizes field-oriented control on stepper motors to enable compliant grasping and precise force sensing. It also includes a 3D position visualization tool for real-time telemetry tr
Navigation2 is a ROS 2 navigation framework for autonomous mobile robots. It provides the core identity of a path planner, costmap management system, kinematic motion controller, and behavior tree orchestrator to compute collision-free routes and execute movement commands. The framework is distinguished by its use of behavior trees to coordinate modular task servers, enabling complex navigation routines and autonomous recovery actions. It supports a plugin-based architecture that allows planners and controllers to be swapped at runtime to adapt to different environments. The system covers a
