Advanced grasping with the Pisa/IIT softHand

Manuel Bonilla, Cosimo Della Santina, Alessio Rocchi, Emanuele Luberto, Gaspare Santaera, Edoardo Farnioli, Cristina Piazza, Fabio Bonomo, Alberto Brando, Alessandro Raugi, Manuel G. Catalano, Matteo Bianchi, Manolo Garabini, Giorgio Grioli, Antonio Bicchi

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

This chapter presents the hardware, software and overall strategy used by the team UNIPI-IIT-QB to participate to the Robotic Grasping and Manipulation Competition. It relies on the PISA/IIT SoftHand, which is underactuated soft robotic hand that can adapt to the grasped object shape and is compliant with the environment. It was used for the hand-in-hand and for the simulation tracks, where the team reached first and third places respectively.

OriginalspracheEnglisch
TitelRobotic Grasping and Manipulation - First Robotic Grasping and Manipulation Challenge, RGMC 2016, Held in Conjunction with IROS 2016, Revised Papers
Redakteure/-innenJoe Falco, Yu Sun
Herausgeber (Verlag)Springer Verlag
Seiten19-38
Seitenumfang20
ISBN (Print)9783319945675
DOIs
PublikationsstatusVeröffentlicht - 2018
Extern publiziertJa
Veranstaltung1st International Conference on Intelligent Robots and Systems, IROS 2016 - Daejeon, Südkorea
Dauer: 10 Okt. 201612 Okt. 2016

Publikationsreihe

NameCommunications in Computer and Information Science
Band816
ISSN (Print)1865-0929

Konferenz

Konferenz1st International Conference on Intelligent Robots and Systems, IROS 2016
Land/GebietSüdkorea
OrtDaejeon
Zeitraum10/10/1612/10/16

Fingerprint

Untersuchen Sie die Forschungsthemen von „Advanced grasping with the Pisa/IIT softHand“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren