SCAL for Pinch-Lifting: Complementary Rotational and Linear Prototypes for Environment-Adaptive Grasping

📅 2025-10-26
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🤖 AI Summary
To address the challenge of stable pinch grasping for thin, low-profile, or geometrically weak objects, this paper proposes an environment-adaptive grasping mechanism based on Slot-Constrained Adaptive Linkages (SCAL). Two complementary finger designs—SCAL-R (active enveloping) and SCAL-L (passive unfolding)—directly convert surface-following motion into lifting action while preserving fingertip orientation, enabling low-deformation, minimally sensed grasping. A geometry-aware closed-form fingertip force model is derived to support structural optimization and manipulation planning. The gripper, fabricated via 3D-printed PLA, integrates rotational-drive folding with linear-drive opening/closing, and incorporates sliding retention, ramp negotiation, and wide-range adaptability. Experiments demonstrate robust pinch-and-lift performance across diverse targets—including small parts, boxes, cans, and tape rolls—with minimal parameter tuning, validating the feasibility of highly reliable single-DOF-dominated grasping.

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📝 Abstract
This paper presents environment-adaptive pinch-lifting built on a slot-constrained adaptive linkage (SCAL) and instantiated in two complementary fingers: SCAL-R, a rotational-drive design with an active fingertip that folds inward after contact to form an envelope, and SCAL-L, a linear-drive design that passively opens on contact to span wide or weak-feature objects. Both fingers convert surface following into an upward lifting branch while maintaining fingertip orientation, enabling thin or low-profile targets to be raised from supports with minimal sensing and control. Two-finger grippers are fabricated via PLA-based 3D printing. Experiments evaluate (i) contact-preserving sliding and pinch-lifting on tabletops, (ii) ramp negotiation followed by lift, and (iii) handling of bulky objects via active enveloping (SCAL-R) or contact-triggered passive opening (SCAL-L). Across dozens of trials on small parts, boxes, jars, and tape rolls, both designs achieve consistent grasps with limited tuning. A quasi-static analysis provides closed-form fingertip-force models for linear parallel pinching and two-point enveloping, offering geometry-aware guidance for design and operation. Overall, the results indicate complementary operating regimes and a practical path to robust, environment-adaptive grasping with simple actuation.
Problem

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

Develops environment-adaptive pinch-lifting mechanism for robotic grasping
Creates complementary rotational and linear finger designs for diverse objects
Enables robust grasping with minimal sensing and simple actuation
Innovation

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

Slot-constrained adaptive linkage enables environment-adaptive pinch-lifting
Complementary rotational and linear fingers maintain orientation during lifting
Geometry-aware force models guide robust grasping with simple actuation
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Wentao Guo
Computer Science and Technology, Beijing Institute of Technology, China and Laboratory of Robotics, X-Institute, Shenzhen, China
Wenzeng Zhang
Wenzeng Zhang
Professor
Robot HandUnderactuated MechanismSelf-adaptive GraspingSeam trackingRobot Vision