Grip Stabilization through Independent Finger Tactile Feedback Control
Grip force control during robotic in-hand manipulation is usually modeled as a monolithic task, where complex controllers consider the placement of all fingers and the contact states between each finger and the gripped object in order to compute the necessary forces to be applied by each finger. Suc...
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | https://hdl.handle.net/1721.1/125358 |
| _version_ | 1826211842854223872 |
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| author | Fernandes Veiga, Filipe Edin, Benoni Peters, Jan |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Fernandes Veiga, Filipe Edin, Benoni Peters, Jan |
| author_sort | Fernandes Veiga, Filipe |
| collection | MIT |
| description | Grip force control during robotic in-hand manipulation is usually modeled as a monolithic task, where complex controllers consider the placement of all fingers and the contact states between each finger and the gripped object in order to compute the necessary forces to be applied by each finger. Such approaches normally rely on object and contact models and do not generalize well to novel manipulation tasks. Here, we propose a modular grip stabilization method based on a proposition that explains how humans achieve grasp stability. In this biomimetic approach, independent tactile grip stabilization controllers ensure that slip does not occur locally at the engaged robot fingers. Local slip is predicted from the tactile signals of each fingertip sensor i.e., BioTac and BioTac SP by Syntouch. We show that stable grasps emerge without any form of central communication when such independent controllers are engaged in the control of multi-digit robotic hands. The resulting grasps are resistant to external perturbations while ensuring stable grips on a wide variety of objects. |
| first_indexed | 2024-09-23T15:11:57Z |
| format | Article |
| id | mit-1721.1/125358 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:11:57Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1253582022-09-29T13:21:10Z Grip Stabilization through Independent Finger Tactile Feedback Control Fernandes Veiga, Filipe Edin, Benoni Peters, Jan Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Grip force control during robotic in-hand manipulation is usually modeled as a monolithic task, where complex controllers consider the placement of all fingers and the contact states between each finger and the gripped object in order to compute the necessary forces to be applied by each finger. Such approaches normally rely on object and contact models and do not generalize well to novel manipulation tasks. Here, we propose a modular grip stabilization method based on a proposition that explains how humans achieve grasp stability. In this biomimetic approach, independent tactile grip stabilization controllers ensure that slip does not occur locally at the engaged robot fingers. Local slip is predicted from the tactile signals of each fingertip sensor i.e., BioTac and BioTac SP by Syntouch. We show that stable grasps emerge without any form of central communication when such independent controllers are engaged in the control of multi-digit robotic hands. The resulting grasps are resistant to external perturbations while ensuring stable grips on a wide variety of objects. 2020-05-20T18:30:24Z 2020-05-20T18:30:24Z 2020-03 2020-02 2020-03-27T13:24:13Z Article http://purl.org/eprint/type/JournalArticle 2076-3417 https://hdl.handle.net/1721.1/125358 Veiga, Filipe et al. "Simulation of Skeletal Muscles in Real-Time with Parallel Computing in GPU." Sensors 20, 6 (March 2020): 1748 © 2020 The Author(s) http://dx.doi.org/10.3390/s20061748 Applied Sciences Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Fernandes Veiga, Filipe Edin, Benoni Peters, Jan Grip Stabilization through Independent Finger Tactile Feedback Control |
| title | Grip Stabilization through Independent Finger Tactile Feedback Control |
| title_full | Grip Stabilization through Independent Finger Tactile Feedback Control |
| title_fullStr | Grip Stabilization through Independent Finger Tactile Feedback Control |
| title_full_unstemmed | Grip Stabilization through Independent Finger Tactile Feedback Control |
| title_short | Grip Stabilization through Independent Finger Tactile Feedback Control |
| title_sort | grip stabilization through independent finger tactile feedback control |
| url | https://hdl.handle.net/1721.1/125358 |
| work_keys_str_mv | AT fernandesveigafilipe gripstabilizationthroughindependentfingertactilefeedbackcontrol AT edinbenoni gripstabilizationthroughindependentfingertactilefeedbackcontrol AT petersjan gripstabilizationthroughindependentfingertactilefeedbackcontrol |