Sensor-based distributed control for chain-typed self-reconfiguration

This paper describes two contributions for chain typed self-reconfigurable robots: a very illustrative self-reconfiguration task changing from "I" shape to "T" shape, and a sensor-based distributed control method for automatic planning and execution of self-reconfiguration. In the "I-to-T" task, a snake robot is to reconfigure itself into a tripod by docking the tail to a target module in the body, releasing a portion of the connected mass as a new leg, and switching to a new gait automatically. We first accomplished this task using predetermined instructions for individual modules without considering sensor inputs. We then developed a sensor-based approach using our hormone-inspired distributed control to allow the robot to dynamically accept the point of connection at run-time, align the tail and the target using sensors, and select appropriate actions based on modules' location in the configuration. Compared to the standard inverse kinematics, this new control approach is sensor-based and can endure the limited computational resources and uncertainties in the connections. It can be applied to self-reconfigurations that are not designed by the programmers but triggered by the environment.

Authors

• Kenneth Payne
• Behnam Salemi
• Peter M. Will
• Wei-Min Shen

Keywords

• Distributed control
• Robot sensing systems
• Robotics and automation
• Shape control
• Legged locomotion
• Tail
• Leg
• Runtime
• Probability distribution
• Kinematics
• Individual Modules
• Connection Point
• Target Modules
• Inverse Kinematics
• Sensor Inputs
• Set Of Rules
• System Modulation
• Independent System
• Shape Memory
• Static Mode
• Hormone Use
• Starfish
• Sensor Values
• Internal Angle
• Local Topology
• Dynamic Planning
• Yaw Axis
• Sensor Feedback
• Position Modulation