A Multimodal, Reconfigurable Workspace Soft Gripper for Advanced Grasping Tasks

Area of Science:

• Robotics
• Materials Science
• Mechanical Engineering

Background:

• Advanced soft grippers offer adaptive alternatives to rigid end-effectors.
• Current soft grippers have limited workspace and versatility, constrained by design.
• Task-specific designs restrict soft grippers to narrow applications.

Purpose of the Study:

• To develop a reconfigurable workspace soft (RWS) gripper.
• To enhance grasping versatility and manipulation capabilities of soft grippers.
• To overcome limitations of fixed-workspace soft grippers.

Main Methods:

• Utilized compliant structures and pneumatic actuators for workspace reconfiguration.
• Employed finite element analysis (FEA) to optimize actuator design and material selection.
• Characterized various grasping modes and workspace reconfigurations.

Main Results:

• The RWS gripper demonstrated a 397% increase in grasping workspace volume.
• Successfully grasped granular items (1.5 mm radius), thin objects (300 μm), and heavy payloads (1.4 kg).
• Showcased adaptability for convex, nonconvex, and deformable items.

Conclusions:

• The RWS gripper provides unprecedented grasping versatility from a single soft gripper design.
• Reconfigurable workspace is key to overcoming limitations in soft gripper applications.
• This technology enables a wider range of manipulation tasks for soft robotic systems.