Hand control

IMAG0077

Description

The ability of manipulating a wide variety of a priori unknown objects permits the mobile manipulators to operate in unstructured environments. This ability also helps people when they are developing certain tasks. In order to acquire this skill, the mobile manipulators need highly flexible mechanic hands. These hands must operate autonomously. Besides, they must be secure and friendly when executing a large range of high level tasks. We are implementing control strategies in the
Gifu Hand III, developed by the Kawasaki and Mouri Laboratory at Gifu University.

The Gifu Hand III has a thumb and four fingers. The thumb has 4 joints with 4 DOF. Each finger has 4 joints with 3 DOF. The movement of the first joint of the thumb and the fingers allows adduction and abduction. The second, third, and fourth joints allow anteflexion and retroflexion. The main difference between the thumb and the fingers is that the fourth joint of the fingers is actuated by the third servomotor through a planar four-bars linkage mechanism. In conclussion, the Gifu Hand III has 20 joints with 16 DOF.

Grasping:

The algorithms required by the hand to provide grasping abilities of different objects are under development. This is the first step towards in-hand manipulation, which is the final goal of this research line.

Learning and mimic of human objects manipulation:

To obtain capacity levels close to human beings when manipulating objects and tools, an approach based on the learning process of the human beings is considered. The starting point is an initial observation and a subsequent imitation of the human manipulation sequences to reproduce the movement. The first difficulty is to find how observation and execution are conected, which means to observe the movements in the human hand and implement these movements in the motor activation programs of the robotic hand.

Entries:
Sensorless Friction and Gravity Compensation
IEEE RAS International Conference on Humanoid Robots (Humanoids 2014), 2014, Madrid, Spain
S. Morante Juan G. Victores S. Martinez
Control Practices using Simulink with Arduino as Low Cost Hardware
ACE2013 – The 10th IFAC Symposium on Advances in Control Education , 2013, Sheffield, UK
J. Crespo R. Barber
Design and Implementation of Software Components for a Remote Laboratory
7th International Technology, Education and Development Conference, 2013, Valencia, SPAIN
J. Crespo R. Barber
An Approach on Remote Laboratories using Matlab Web Server and Easy Java Simulations
6th International Technology, Education and Development Conference., 2012, Valencia, Spain
M. Malfaz C.A. Monje R. Barber
Adaptive Control of a Pneumatic System for Educational Practices
The 8th International Technology, Education and Development Conference, 2014, Valencia, Spain
J. Crespo R. Barber S. Garrido D. Rofriguez
A Home Made Robotic Platform based on Theo Jansen Mechanism for Teaching Robotics
The 10th annual International Technology, Education and Development Conference, 2016, Valencia, Spain
A. C. Hernández C. Gómez J. Crespo R. Barber
Object Classification in Natural Environments for Mobile Robot Navigation
IEEE, International Conference on Autonomous Robot Systems and Competitions (ICARSC), 16th edition, 2016, Braganza, Portugal
A. C. Hernández C. Gómez J. Crespo R. Barber

Entries:
RoboCity16 Open Conference on Future Trends in Robotics
chapter: Object Perception applied to Daily Life Environments for Mobile Robot Navigation pages: 105 – 112. Consejo Superior de Investigaciones Científicas Madrid, España , ISBN: 978-84-608-8452-1, 2016
A. C. Hernández C. Gómez J. Crespo R. Barber

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