Robot hand with soft tactile sensors and underactuated control

Area of Science:

• Robotics
• Artificial Intelligence
• Sensor Technology

Background:

• Traditional robot hands often require numerous actuators for dexterity.
• Achieving a flexible and adaptive grip remains a challenge in robotics.

Purpose of the Study:

• To develop a robot hand with enhanced grasping flexibility using underactuated control.
• To integrate soft tactile sensors for improved object interaction and shape recognition.

Main Methods:

• Designed a three-fingered robot hand with three joints per finger, mimicking human finger articulation.
• Implemented underactuated control, utilizing one wire and servo motor per finger for bending, and torsion springs for extension.
• Developed and integrated a soft tactile sensor with three pneumatic sensors onto each fingertip.

Main Results:

• The robot hand demonstrated adaptive grasping capabilities through underactuated control.
• The soft tactile sensors accurately detected object contact and provided contact position data.
• Analysis of tactile sensor data yielded preliminary information about object shapes.

Conclusions:

• Underactuated control offers a viable method for flexible robotic hand operation and actuator reduction.
• Soft tactile sensors are effective for detecting contact and inferring object geometry in robotic manipulation.
• This integrated system shows promise for advanced robotic grasping and object interaction.