Reconfigurable Joint Limits and Workspaces

Researchers at Stanford University have developed an innovative hardware-based reconfigurable joint limit mechanism and module that precisely constrains a robot's workspace through pre-performance adjustments. By setting specific joint limits before operation, the module customizes the robot's range of motion for individual tasks and user safety, significantly reducing the risk of malfunctions or operator errors compared to traditional software methods.

Robots are integral across various industries, enhancing efficiency in tasks ranging from assembly to medical procedures. Therefore, safety is paramount, especially in collaborative human-robot environments. However, in most commercial applications, robots are not tailored for specific tasks—their workspaces are generally larger than necessary for the intended task, increasing the risk that an unintended movement could harm nearby individuals or even those in direct contact with the robot.

To ensure safety, traditional methods rely on: