Perception, control, and hardware for in-hand slip-aware object manipulation with parallel grippers

Dexterous in-hand manipulation offers significant potential to enhance robotic manipulator capabilities. This paper presents a sensori-motor architecture for in-hand slip-aware control, being embodied in a sensorized gripper. The gripper in our architecture features rapid closed-loop, low-level force control and is equipped with sensors capable of independently measuring contact forces and sliding velocities. Our system can quickly estimate essential object properties during pick-up using only in-hand sensing, without relying on prior object information. We introduce four distinct slippage controllers: gravity-assisted trajectory following for both rotational and linear slippage, a hinge controller that maintains the object’s orientation while the gripper rotates, and a slip-avoidance controller. The gripper is mounted on a robot arm and validated through extensive experiments involving a diverse range of objects, demonstrating the architecture’s novel capabilities for manipulating objects with flat surfaces.

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Publication Details

Journal
The International Journal of Robotics Research
Published
2025-11-27
DOI
https://doi.org/10.1177/02783649251397549
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Perception, control, and hardware for in-hand slip-aware object manipulation with parallel grippers

Gabriel Arslan Waltersson, Yiannis Karayiannidis
The International Journal of Robotics Research
Robot Manipulation and Learning
article

Perception, control, and hardware for in-hand slip-aware object manipulation with parallel grippers

Gabriel Arslan Waltersson, Yiannis Karayiannidis
article en

Abstract

Dexterous in-hand manipulation offers significant potential to enhance robotic manipulator capabilities. This paper presents a sensori-motor architecture for in-hand slip-aware control, being embodied in a sensorized gripper. The gripper in our architecture features rapid closed-loop, low-level force control and is equipped with sensors capable of independently measuring contact forces and sliding velocities. Our system can quickly estimate essential object properties during pick-up using only in-hand sensing, without relying on prior object information. We introduce four distinct slippage controllers: gravity-assisted trajectory following for both rotational and linear slippage, a hinge controller that maintains the object’s orientation while the gripper rotates, and a slip-avoidance controller. The gripper is mounted on a robot arm and validated through extensive experiments involving a diverse range of objects, demonstrating the architecture’s novel capabilities for manipulating objects with flat surfaces.

The International Journal of Robotics Research
Lund University (SE), Chalmers University of Technology (SE)
Openalex Percentile: Top 54%
Robot Manipulation and Learning
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Perception, control, and hardware for in-hand slip-aware object manipulation with parallel grippers — Gabriel Arslan Waltersson, Yiannis Karayiannidis · The International Journal of Robotics Research (2025) | TGRS Research Map | TGRS