Workspace
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In robotics and AI, a **workspace** refers to the set of positions and orientations that a robot's end-effector, limb, or sensor can physically reach or operate within. It is defined by the robot's kinematic structure, joint limits, and physical constraints, and can be described in Cartesian space, configuration space, or task space depending on the application. Workspace analysis is fundamental across motion planning, manipulator design, human-robot collaboration, and rehabilitation robotics. Path planning algorithms, for instance, navigate robots through free regions of the workspace while avoiding obstacles, while kinematic optimization seeks to maximize reachable volume or dexterity within it. In collaborative settings, workspace awareness ensures safe co-habitation between humans and robots by enabling collision detection and reactive behaviors. For exoskeletons and rehabilitation systems, matching a robot's workspace to human anatomical ranges is critical for effective and safe assistance. Understanding and carefully characterizing the workspace guides engineers in designing systems that are capable, efficient, and safe, making it one of the most foundational concepts in both theoretical and applied robotics.
Top Researchers
Top Cited Papers
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