Bioarchitectonics-inspired soft grippers with cutaneous slip perception

Area of Science:

• Robotics
• Materials Science
• Bio-inspired Engineering

Background:

• The demand for dexterous robotic manipulation necessitates advanced sensing and control for slip prevention.
• Soft grippers offer compliance but lack real-time sensory feedback and have complex dynamics.
• Human tactile perception provides a model for advanced robotic sensing.

Purpose of the Study:

• To develop a bioarchitectonics-inspired soft slip sensor for enhanced sensitivity to incipient slip and shear force.
• To engineer a soft gripper with a linear pressure-to-force response for predictable force modulation.
• To create a closed-loop sensorimotor framework for improved soft robotic grasping.

Main Methods:

• Designed a 3D soft slip sensor utilizing crack and stress concentration principles.
• Engineered a soft gripper with a linear pressure-to-force characteristic.
• Conformally integrated flexible slip sensors onto the soft gripper.
• Established a closed-loop sensorimotor system for real-time feedback and control.

Main Results:

• The bio-inspired sensor demonstrated enhanced sensitivity to incipient slip and shear forces.
• The integrated system achieved real-time detection of early-stage slippage.
• The soft robotic system showed improved reliability and adaptability in grasping tasks.
• Interfacial frictional properties could be investigated using the developed system.

Conclusions:

• The developed soft slip sensor and gripper system provides a robust solution for slip prevention in soft robotics.
• Bioarchitectonics-inspired design and sensor integration enable a perceptive soft robotic system.
• The closed-loop sensorimotor framework significantly enhances the performance of soft robotic grasping.