Literature DB >> 33501153

CLASH-A Compliant Sensorized Hand for Handling Delicate Objects.

Werner Friedl1, Máximo A Roa1.   

Abstract

Automation of logistic tasks, such as object picking and placing, is currently one of the most active areas of research in robotics. Handling delicate objects, such as fruits and vegetables, both in warehouses and in plantations, is a big challenge due to the delicacy and precision required for the task. This paper presents the CLASH hand, a Compliant Low-Cost Antagonistic Servo Hand, whose kinematics was specifically designed for handling groceries. The main feature of the hand is its variable stiffness, which allows it to withstand collisions with the environment and also to adapt the passive stiffness to the object weight while relying on a modular design using off-the-shelf low-cost components. Due to the implementation of differentially coupled flexors, the hand can be actuated like an underactuated hand but can also be driven with different stiffness levels to planned grasp poses, i.e., it can serve for both model-based grasp planning and for underactuated or model-free grasping. The hand also includes self-checking and logging processes, which enable more robust performance during grasping actions. This paper presents key aspects of the hand design, examines the robustness of the hand in impact tests, and uses a standardized fruit benchmarking test to verify the behavior of the hand when different actuator and sensor failures occur and are compensated for autonomously by the hand.
Copyright © 2020 Friedl and Roa.

Entities:  

Keywords:  end effector; grasp stiffness; hand design; soft manipulation; variable impedance

Year:  2020        PMID: 33501153      PMCID: PMC7805668          DOI: 10.3389/frobt.2019.00138

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  2 in total

1.  Key Insights into Hand Biomechanics: Human Grip Stiffness Can Be Decoupled from Force by Cocontraction and Predicted from Electromyography.

Authors:  Hannes Höppner; Maximilian Große-Dunker; Georg Stillfried; Justin Bayer; Patrick van der Smagt
Journal:  Front Neurorobot       Date:  2017-05-22       Impact factor: 2.650

2.  Human-Robotic Variable-Stiffness Grasps of Small-Fruit Containers Are Successful Even Under Severely Impaired Sensory Feedback.

Authors:  Mark Haas; Werner Friedl; Georg Stillfried; Hannes Höppner
Journal:  Front Neurorobot       Date:  2018-10-31       Impact factor: 2.650

  2 in total

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