Towards Task-Specific Modular Gripper Fingers: Automatic Production of Fingertip Mechanics
Johannes Ringwald, Samuel Schneider, Lingyun Chen, Dennis Knobbe, Lars, Johannsmeier, Abdalla Swikir, Sami Haddadin

TL;DR
This paper presents an automated system for producing task-specific robotic fingertip mechanics using 3D printing and quick exchange mechanisms, enabling flexible and efficient adaptation of grippers for various tasks.
Contribution
It introduces a novel framework combining 3D printing and robotic manipulation for automatic fingertip design, production, and testing, advancing tactile manufacturing capabilities.
Findings
Successfully produced and tested three different fingertip designs.
Demonstrated grasp stability and task execution with printed fingertips.
Validated the system's ability to adapt fingertips for multiple tasks.
Abstract
The number of sequential tasks a single gripper can perform is significantly limited by its design. In many cases, changing the gripper fingers is required to successfully conduct multiple consecutive tasks. For this reason, several robotic tool change systems have been introduced that allow an automatic changing of the entire end-effector. However, many situations require only the modification or the change of the fingertip, making the exchange of the entire gripper uneconomic. In this paper, we introduce a paradigm for automatic task-specific fingertip production. The setup used in the proposed framework consists of a production and task execution unit, containing a robotic manipulator, and two 3D printers - autonomously producing the gripper fingers. It also consists of a second manipulator that uses a quick-exchange mechanism to pick up the printed fingertips and evaluates gripping…
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Taxonomy
TopicsRobot Manipulation and Learning · Soft Robotics and Applications · Tactile and Sensory Interactions
