MoveIt is designed to be easily extensible as separate plugins or projects. Below is a list of related projects that have been aligned with the MoveIt framework, in alphabetical order of project names. This is by no means exhaustive. Please create pull-requests in the repository moveit.ros.org to add other projects to this list. Or if not sure about the relevance, please post on the ROS Discourse category.
A set of packages that include controller interfaces, controller managers, transmissions and hardware_interfaces. The ros_control packages are a rewrite of the pr2_mechanism packages to make controllers generic to all robots beyond just the PR2. The ros_control packages takes as input the joint state data from your robot’s actuator’s encoders and an input set point. It uses a generic control loop feedback mechanism, typically a PID controller, to control the output, typically effort, sent to your actuators. ros_control gets more complicated for physical mechanisms that do not have one-to-one mappings of joint positions, efforts, etc but these scenarios are accounted for using transmissions.
A MoveIt kinematics_base plugin based on Particle Optimization & Genetic Algorithms. For ease of use and compatibility with existing code, the bio-ik algorithm is encapsulated as a Moveit kinematics plugin. Therefore, bio-ik can be used as a direct replacement of the default Orocos/KDL-based IK solver. Given the name of an end-effector and a 6-DOF target pose, bio-ik will search a valid robot joint configuration that reaches the given target. More Info
Provide an alternative Inverse Kinematics solver to the popular inverse Jacobian methods in KDL. Specifically, KDL’s convergence algorithms are based on Newton’s method, which does not work well in the presence of joint limits — common for many robotic platforms. More Info
Most industrial robot manipulators supported in ROS come with a MoveIt configuration. The MotionPlanning plugin for RViz allows simple and visualized planning and execution of free-space motion. Planning and obstacle avoidance work mostly out-of-the-box. In pilz_industrial_motion Cartesian motion is addressed: existing libraries for Cartesian trajectory generation lacked a user-friendly interface.
The project implements a trajectory generator with a MoveIt-interface for easy planning and execution of Cartesian standard-paths (LIN, PTP, CIRC). In addition, the blending of multiple sequential motion commands is realized. More Info
ROS2 Grasp Library enables state-of-the-art CNN based deep learning grasp detection algorithms on ROS2 for visual based industrial robot manipulation. This package provides ROS2 interfaces compliant with the MoveIt motion planning framework which is supported by most of the robot models in ROS industrial. More Info
ROS-Industrial Special Project: Cartesian Path Planner. Descartes performs path-planning on under-defined Cartesian trajectories. It uses trajectory points, robot models, and planners to generate an joint-trajectory that complies with the constraints of a given process. More Info
A sample implementation as MoveIt “GraspPlanning” plugin, to perform grasps detection by GPD. GPD detects 6-DOF grasp poses for a 2-finger grasp (e.g. a parallel jaw gripper) in 3D point clouds. Grasp pose detection consists of three steps: sampling a large number of grasp candidates, classifying these candidates as viable grasps or not, and clustering viable grasps which are geometrically similar. More Info
Geometric grasping generator library for cuboids. A basic grasp generator for objects such as blocks or cylinders for use with the MoveIt pick and place pipeline. Does not consider friction cones or other dynamics.
Its current implementation takes as input a pose vector (postition and orientation) and generates a large number of potential grasp approaches and directions. Also includes a grasp filter for removing kinematically infeasible grasps via threaded IK solvers. More Info
MoveGroupCapability that does simple extrapolation to check for possible collisions. If it detects a possible collision at a specified horizon, it notifies the ecosystem by message and extrapolate current state into the future to predict possible collisions. More Info
The Nishida Takeshi Lab in Fukuoka, Japan supports a suite of ROS packages for working with the Motoman line of Robots from Yaskawa through a number of interfaces including Matlab. You can explore some of these interfaces in the motoman_apps repository.