Grasping / Learning

grasping1

Description

Nowadays, image treatment is one of the biggest barriers in robotics. Some aspects that are simply a priori for individuals (like object discrimination), are not so obvious when treating them using computers.

The problem arises when associating points belonging to the same object. Our brain does this process automatically, but it is not so clear when we try to do it digitally. The machine cannot identify the environment as a set of elements but as a set of unrelated pixels.

Following this line of argument, we want to design algorithm that find/identify/recognize the human hand and segmentate it. Once the segmentation is done, we discriminate among its physiological elements (palm and fingers), and the hand can be represented graphically in real-time when gesturing.

The final goal is to teach the robot to manipulate objects without human interaction.

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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