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Human-Centered Sensor Technologies for Soft Robotic Grippers: A Comprehensive Review
Md Tasnim Rana1, Md Shariful Islam2, Azizur Rahman3
1Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh.
Sensors (Basel, Switzerland)
|March 17, 2025
Summary
This review systematically classifies bio-robotic gripper sensors and their selection criteria using PRISMA methodology. It highlights sensor characteristics and proposes a selection flow diagram for soft robotic applications.
Area of Science:
- Bio-robotics
- Soft Robotics
- Sensor Technology
Background:
- Bio-robotics increasingly mimics nature for environmental adaptation.
- Bio-robotic grippers are crucial for physical interaction, with sensors vital for feedback.
- Current bio-robotic gripper sensor selection lacks systematic classification.
Purpose of the Study:
- To systematically review and classify bio-robotic gripper sensors.
- To explore challenges and selection considerations for soft robotic sensing systems.
- To propose a structured approach for selecting appropriate sensors for soft robotic grippers.
Main Methods:
- Systematic literature review following PRISMA methodology.
- Discussion of challenges in soft robotic systems and sensing importance.
- Classification of soft actuation, sensor characteristics, and modalities.
Main Results:
- Challenges in soft robotic systems and the critical role of sensing are discussed.
- Unique characteristics of soft robotic sensors (compliance, flexibility, etc.) are explored.
- A categorization of sensors by modality (tactile, force, slippage) and specific technologies (piezoelectric, optical) is presented.
Conclusions:
- A systematic classification and selection process for bio-robotic gripper sensors is needed.
- Understanding sensor characteristics and modalities is key for effective soft robotic design.
- A proposed flow diagram aids in selecting sensors tailored for specific soft robotic applications.
