A fast Collision Detection System based on an Extended State Observer

Safety of collaborative robots is guaranteed through fast collision detection methods able to reveal impacts occurring in any part of the system. This paper proposes a new impact detection method based on an extended state observer. It does not require torque sensors and, differently from analogous sensorless approaches, it exploits the high order derivatives of the system in order to reduce the detection latency time. Such derivatives are commonly not measured by the manipulator sensors, so that a Kalman Filter was required for their estimation. The performances of the novel Impact Detection System (IDS) have been experimentally tested on a planar robot and results have been compared with ones achieved through two well known alternative strategies. The proposed algorithm allows faster detections and it is robust w.r.t. noise.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/mesa61532.2024.10704895
Citations
1
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.20
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A fast Collision Detection System based on an Extended State Observer

Corrado Guarino Lo Bianco, Shabnam Shakourzadeh, Giammarco Tonti
1 citations
Autonomous Vehicle Technology and Safety
0.20
article

A fast Collision Detection System based on an Extended State Observer

Corrado Guarino Lo Bianco, Shabnam Shakourzadeh, Giammarco Tonti
article en
1 citations

Abstract

Safety of collaborative robots is guaranteed through fast collision detection methods able to reveal impacts occurring in any part of the system. This paper proposes a new impact detection method based on an extended state observer. It does not require torque sensors and, differently from analogous sensorless approaches, it exploits the high order derivatives of the system in order to reduce the detection latency time. Such derivatives are commonly not measured by the manipulator sensors, so that a Kalman Filter was required for their estimation. The performances of the novel Impact Detection System (IDS) have been experimentally tested on a planar robot and results have been compared with ones achieved through two well known alternative strategies. The proposed algorithm allows faster detections and it is robust w.r.t. noise.

University of Parma (IT)
Climate action
Openalex Percentile: Top 50%
Autonomous Vehicle Technology and Safety
0.20
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