Deformable and Fragile Object Manipulation: A Review and Prospects

Area of Science:

• Robotics
• Artificial Intelligence
• Materials Science

Background:

• Deformable object manipulation (DOM) is crucial for autonomous robots but challenging, particularly with fragile items.
• Current DOM methods often lack robust safety features and real-time adaptiveness for delicate objects.
• Handling soft tissues or fruits requires specialized approaches beyond standard trajectory optimization.

Purpose of the Study:

• To systematically review DOM components for their effectiveness with fragile objects.
• To identify limitations in existing DOM methodologies concerning fragility constraints.
• To propose an adaptive framework for safe and generalized manipulation of delicate items.

Main Methods:

• Systematic review of sensing, perception, modeling, planning, and control in DOM.
• Analysis of current approaches for their ability to handle fragility.
• Discussion of a novel framework integrating reflexive mechanisms and global optimization.

Main Results:

• Key limitations in current DOM approaches for fragile objects were identified.
• Existing methods often fail to incorporate fragility as a core design consideration.
• A promising framework combining low-latency reflexes and global optimization was presented.

Conclusions:

• Safe and adaptive DOM of fragile objects requires addressing specific constraints.
• A hybrid approach utilizing both reflexive and global optimization strategies is promising.
• Further research into adaptive control is needed for real-world robotic applications involving delicate items.