​The pre-recorded video of all speackers are now online! Look at your Youtube channel

Every communication with the organisers can happen on the Slack channel of the workshop #w21.

ABOUT THE EVENT

Literature in neuroscience and psychology has long suggested that human grasping is a purposive action. Effectively, object manipulation is the high-level action, and grasping can be regarded as one sub-action of the manipulation task. In this perspective, at least five factors seem to prime a grasp: object, task, human hand, the experience of the grasper and chance. For instance, parameters such as hand shaping and hand placement are suggested to depend heavily on these factors.
Differently, research in robotics appears to have focused attention mainly on the stability and the speed of a grasp. These two features are necessary while performing a grasp; however, they do not fully represent the ecosystem of choices behind a grasp since they do not account for the overall manipulation task to perform.
An effective object manipulation is increasingly requested, as robots need to successfully manipulate the surrounding environment to be accepted. In smart factories, robots need to be smart grasper and capable partners to human workers, thus enabling an efficient human-robot interaction. Moreover, imagine a robotic nurse that has to help injured patients to stand up, hence supporting their weight. In these examples, and many others can come to mind easily, robots must adapt their grasping strategy to the task to perform.
For all these reasons, the aim of this workshop is to discuss the role of the manipulation task over the choice of a grasp, starting from analysing the human behaviour (Neuroscience and Psychology) and touching also on what could be the implications of the so-called task-oriented grasping, for the design of flexible robotic grippers and hands, and for the identification of suitable control and planning strategies. Also, a discussion will be facilitated on the definition of a quality metric which is shaped by the ultimate manipulation task and which helps synthesising grasps accordingly. The organisers have recently put forward such a metric that includes the abovementioned stability and speed, and this metric will also be used during the discussion.
In this event, we want to bring together scientists from three macro-areas of research on object manipulation and grasping, i.e., 1) grasping and manipulation in humans, 2) grasping and manipulation in robotics and 3) metrics for robot object manipulation and grasping. We believe that thematic conversations and discussions can help shedding a deeper light on grasping and manipulation, and shaping an overarching metric of quality on grasping and manipulation that can be adopted by and will benefit the whole community.

 

SPEAKERS

Behavioural Psychology: Grasping and Manipulation in humans

 
alan.jfif

A. WING

Professor, University of Birmingham

patrizia.jfif

P. FATTORI

Professor, Universita' di Bologna

SPEAKERS

Grasping and Manipulation in robotics

matt.jfif

M. MASON

Professor, CMU

aaron.jfif

A. DOLLAR

Professor, Yale

 

SPEAKERS

Grasping and Manipulation in robotics

mia.jfif

M. KOKIC

PhD student, KTH

matteo.jfif

M. MATTEUCCI

Assistant Professor, Politecnico di Milano

 

V. ORTENZI

University of Birmingham, United Kingdom

T. PARDI

University of Birmingham, United Kingdom

M. CONTROZZI

Scuola Superiore Sant'Anna, Italy

F. CINI

Scuola Superiore Sant'Anna, Italy

M. ROA

DLR, Germany

M. BIANCHI

Universita' di Pisa, Italy

J. LEITNER

Queensland University of Technology, Australia

P. CORKE

Queensland University of Technology, Australia

 

Poster Contributions

Learning Task-Oriented Grasping from Human Activity Datasets

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Mia Kokic, Danica Kragic, Jeannette Bohg

Soft Hand-Environment Interaction in Grasping Tasks

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Maria Pozzi, Chiara Gaudeni, Joao Bimbo, Zubair Iqbal, Enrico Turco, Mahdi Ghazaei Ardakani,
Gionata Salvietti, Valerio Bo, Monica Malvezzi, Domenico Prattichizzo

A Multi-Modal Hand-Object Interaction Sensing Platform

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Alessandro Carfı̀m
Mohamad Alameh and Fulvio Mastrogiovanni

 
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European Union’s Horizon 2020 Research and Innovation Programme (H2020-ICT-2019-2/ 2019-2023) under grant agreement No. 871237 (SOPHIA), and (H2020-DT-FOF-12-2019) under grant agreement No. 870142 (APRIL).

OUR FUNDING

GET IN TOUCH

Birmingham, UK

Computer Robot