Far-Field Magnetic Sensing on Soft Origami Actuator for Spatial Multidimensional Movement and Force Perception

Area of Science:

• Robotics
• Materials Science
• Sensor Technology

Background:

• Soft robots require advanced sensing for adaptability in unstructured environments.
• Magnetic sensing offers integration ease and broad detection for soft robotic applications.
• Current methods lack comprehensive multimodal perception for soft actuators.

Purpose of the Study:

• To explore far-field magnetic sensing for multimodal perception in soft robots.
• To develop a Soft Farfield Magnetic Origami design for precise motion and force detection.
• To validate a model-based approach for soft actuator kinematic and force sensing.

Main Methods:

• Integration of a Hall sensor array into soft pneumatic origami actuators.
• Utilizing sensor data to track actuator distal position and infer multidimensional movements.
• Developing a model-based approach relating actuator position/pressure to sensing modalities.

Main Results:

• Accurate spatial kinematic perception with root-mean-square deviations of 0.36 mm (length) and 0.02 rad (angle).
• Detection of interactive forces with a root-mean-square deviation of 0.89 N.
• Demonstrated comprehensive methodology from design to validation for soft robotic systems.

Conclusions:

• The Soft Farfield Magnetic Origami system enables effective multimodal perception for soft robots.
• The model-based approach facilitates accurate position feedback control and interactive force tuning.
• This research advances sensing capabilities for versatile soft robotic applications.