Minimal Footprint Grasping Inspired by Ants

📅 2026-01-31
📈 Citations: 0
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🤖 AI Summary
This work addresses the challenge of reliably grasping diverse consumer goods in dense, cluttered environments by drawing inspiration from the forelimb structure of ants to develop a low-cost, slender bio-inspired gripper. The design uniquely integrates high-friction microstructured pads, low-friction setae, and a single-segment compliant underactuated fingertip into a unified architecture, revealing the synergistic mechanical interplay between insect tarsal setae and compliance during grasping. The resulting gripper is lightweight and compact, achieving 100% success rates across a wide range of consumer products and demonstrating robust performance in stably extracting individual items from densely packed stacks. This approach significantly enhances grasping robustness in unstructured settings, offering a practical solution for real-world manipulation tasks.

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📝 Abstract
Ants are highly capable of grasping objects in clutter, and we have recently observed that this involves substantial use of their forelegs. The forelegs, more specifically the tarsi, have high friction microstructures (setal pads), are covered in hairs, and have a flexible under-actuated tip. Here we abstract these features to test their functional advantages for a novel low-cost gripper design, suitable for bin-picking applications. In our implementation, the gripper legs are long and slim, with high friction gripping pads, low friction hairs and single-segment tarsus-like structure to mimic the insect's setal pads, hairs, and the tarsi's interactive compliance. Experimental evaluation shows this design is highly robust for grasping a wide variety of individual consumer objects, with all grasp attempts successful. In addition, we demonstrate this design is effective for picking single objects from dense clutter, a task at which ants also show high competence. The work advances grasping technology and shed new light on the mechanical importance of hairy structures and tarsal flexibility in insects.
Problem

Research questions and friction points this paper is trying to address.

grasping
clutter
gripper design
bin-picking
robust manipulation
Innovation

Methods, ideas, or system contributions that make the work stand out.

bio-inspired grasping
ant foreleg mimicry
under-actuated gripper
high-friction setal pads
cluttered bin-picking
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M
Mohamed Sorour
Institute for Perception, Action and Behaviour, School of Informatics, University of Edinburgh. Informatics Forum, 10 Crichton St, EH8 9AB Edinburgh, United Kingdom
Barbara Webb
Barbara Webb
Professor, School of Informatics, University of Edinburgh
Bioroboticsinsect behaviourneural circuits