Stationary Arm#
The Stationary Arm Blueprint utilizes the Stationary Robot Toolkit to provide reference workflows for fixed robotic arms operating in structured environments such as assembly lines, inspection stations, and material-handling cells. It brings together validated reference solutions and an end-to-end vision-guided pick-and-place demo built on ROS 2.
The current reference implementation is the Stationary Robot Toolkit Vision and Controls Demo. It couples camera-based perception, grasp selection, task orchestration, and arm control so developers can evaluate the complete path from detecting an object to placing it at a target.
Stationary Arm Platform and Integration#
The Stationary Robotics Toolkit provides modular components that you can combine and adapt for different robot arms and structured workspaces. Available building blocks include camera and object-detection pipelines, pose and orientation-aware grasp selection, ROS 2 task orchestration, and a motion-controller interface. This separation lets you reuse the perception and task layers while integrating a controller appropriate to the target robot.
flowchart LR
camera[Camera]
detection[Object Detection]
grasp[Pose and Grasp Selection]
task[ROS 2 Task Orchestration]
interface[Motion-Controller Interface]
controller[Robot Controller]
arm[Robot Arm and End Effector]
camera --> detection --> grasp --> task --> interface --> controller --> arm
Our demonstration pipeline is set up for deployment with a Universal Robots UR5e arm, Robotiq 2F-85 gripper, and Intel RealSense camera running Robotics AI Suite. Together, they provide a baseline for perception-to-motion integration in fixed, structured workspaces. Configure the robot network connection, camera-to-world transform, controller, gripper, and collision environment for the target workspace.
Validated Configurations#
The Stationary Arm Blueprint supports the configurations below. The reference platform targets Intel Core Ultra Series 3 and provides a reusable Robotics AI Suite baseline. The UR5e deployment configuration verifies the complete vision-guided pick-and-place workflow with the identified hardware and software. A configuration is not a guarantee of broad compatibility, but is intended as a reference baseline.
Intel Core Ultra Series 3 with components selected for the target arm, end effector, and workspace, running the Stationary Robotics Toolkit.
Intel Core Ultra Series 3 with a Universal Robots UR5e, Robotiq 2F-85 gripper, Intel RealSense camera, and the Stationary Robotics Toolkit.
Selecting a Configuration#
Use the Stationary Arm reference platform when integrating toolkit components with a target robot and workspace. Use the UR5e Vision and Controls deployment when working with the verified UR5e, Robotiq, and RealSense configuration.
Complete the shared System Requirements and Getting Started guide before installing the toolkit. Configure the robot network connection, camera-to-world transform, controller, gripper, and collision environment for the target workspace. Test new configurations with simulation or mock hardware before enabling physical robot motion.
Safety#
The verified deployment demonstrates perception-to-motion integration for a structured pick-and-place task. Hardware substitutions, different arm models, additional cameras, and production safety systems require integration and validation specific to the target workspace. Validation does not make a safety claim for a production deployment; system integrators remain responsible for risk assessment, guarding, emergency stops, and applicable safety requirements.
Stationary Arm Development Path#
Start with the Vision and Controls Simulation Demo to validate the pick-and-place workflow before enabling physical robot motion. Then use the Vision and Controls Deployment Demo to deploy object detection, pose and grasp selection, ROS 2 task orchestration, and MoveIt 2 Servo arm control on the target robot.
Validate the vision-guided pick-and-place workflow in simulation. This demo is in development.
Explore the vision-guided pick-and-place workflow and its ROS 2 components.