Visual human-robot interaction

eye

Description


Cognitive
Emotive
Visual System


“The intelligent
glance acts in the following way:  it anticipates,
 it prevents,
it uses information already known, it
recognizes,
it interprets”

 (Jose A. Marina, ?La Tª de la
inteligencia
creadora?)

Why we call it Cognitive vision?
Because in the human vision the knowledge plays a important role, we
anticipate, we use previously acquired information, we use information
from the knowledge we have of the environment, we recognize, we
interprete. Human vision is a
intelligent vision not limited by the data obtained from the physical
reaction after a visual stimulus, it also incorporates a serie of
mechanisms that try
to assure that all the knowledge, as much as the internal (of the own
observer)
as the knowledge of the environment, is used .

Why we call it Emotive vision?
Because the affective states play a very important role in many aspects
of the human activity and above all in the interaction with others. The
fact of including emotional assessment in an artificial vision system
adds additional information that can explain behaviors that could not
be understood without the affective factor. Therefore if we want to
equip the robot with the communication skills of humans the vision
system will need to consider the incorporation of a mechanism of visual
assessment of emotions.

Entries:
Remote Interaction with Mobile Robots
Autonomous Robots. num. 3 , vol. 15 , pages: 267 – 281 , 2003
A.M. Khamis M.A. Salichs
Software Architecture for Internet Mobile Robotics
Robotics and Machine Perception. SPIE. num. 1 , vol. 12 , pages: 7 – 11 , 2003
A.M. Khamis M.A. Salichs

Entries:
Humanoid Teleoperation System for Space Environments
14th International Conference on Advanced Robotics (ICAR '09), 2009, Munich, Germany
P. Pierro M. González-Fierro D. Hernandez
Maggie: A Robotic Platform for Human-Robot Social Interaction
IEEE International Conference on Robotics, Automation and Mechatronics (RAM 2006), 2006, Bangkok, Thailand
E. Delgado A. Corrales R. Rivas R. Pacheco A.M. Khamis Javi F. Gorostiza M. Malfaz R. Barber M.A. Salichs
Sistema de Interacción Remota con Robots Móviles basado en Internet I
I Jornadas de Trabajo: Educación en Automática. DocenWeb: Red Temática de Docencia en Control mediante Web, 2004, Alicante, Spain
A.M. Khamis R. Barber M.A. Salichs
Pattern-based Architecture for Building Mobile Robotics Remote Laboratories
IEEE International Conference on Robotics and Automation, Taipei, Taiwan
M. Rivero A.M. Khamis M.A. Salichs
Multiact Approach for Building Web-based Educational Environments: Mobile Robotics Course as a Case Study
The 11th Mediterranean Conference on Control and Automation, MED'03, Rhodes, Greece
A.M. Khamis M.A. Salichs
The Merging to eLearning in Mobile Robotics
15th IFAC World Congress on Automatic Control (b?02), Barcelona, Spain
A.M. Khamis M.A. Salichs
Laboratorio a Distancia via Internet en Robotica Móvil
III Jornada de Trabajo – Enseñanza Vía Internet/Web de la Ingeniería de Sistemas y Automática- EIWSA 2002, 2004, Alicante, Spain
A.M. Khamis M.A. Salichs
Design of a Remote Laboratory on Mobile Robots
Internet-based Control Eduaction, IBCE01, Madrid, Spain
A.M. Khamis M.A. Salichs
A Remote Laboratory for Teaching Mobile Robotics
IFAC Conference on Telematics Applications and Robotics (TA2001), 2001, Weingarten, Germany
A.M. Khamis M.A. Salichs
Teaching Mobile Robotics to Anyone, Anywhere at Anytime
1st. EURON Workshop on Robotics Education and Training RET 2001, 2001, Weingarten, Germany
A.M. Khamis M.A. Salichs
Sensorial Data Acquisition Process for a Mobile Robot in the Virtual Laboratory
International Workshop in Teleeducation in Mechatronics based on Virtual Laboratories, 2001, Weingarten, Germany
A.M. Khamis M.A. Salichs