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:
Force-Torque Sensor-Based Strategy for Precise Assembly using a SCARA Robot
Robotics and Autonomous Systems. num. 8 , vol. 8 , pages: 203 – 212 , 1991

Entries:
Optimum Robot Manipulator Path Generation using Differential Evolution
IEEE Congress on Evolutionary Computation, CEC’09, Trondheim, Noruega
C. G.Uzcategui D. Blanco L. Moreno
A. De Santis, B. Siciliano, The Virtual End-Effectors approach for Human-Robot Interaction
10th International Symposium on Advances in Robot Kinematics, 2006, Ljubljana, Slovenia
P. Pierro
Predesign of an Anthropomorphic Lightweight Manipulator
8th International Conference on Climbing and Walking Robots and the support Technologies for Mobile Machines (CLAWAR 2005), 2005, London, U.K.
S. Kadhim D. Blanco L. Moreno
Lightweight robot design for mobile manipulators
International Conference on MECHATRONICSICOM 2003, 2003, Loughborough, U.K.
S. Kadhim D. Blanco L. Moreno
Sensor-based path planning for a mobile manipulator guided by the human
11th International Conference on Advanced Robotics (ICAR?2003), Coimbra, Portugal
D. Blanco L. Moreno
Sensor-based path planning for a mobile manipulator guided by the humans
11th International Conference on Advanced Robotics, ICAR?03, 2003, Coimbra, Portugal
D. Blanco L. Moreno
Path planning with uncertainty
18th Int. Conf. on CAD/CAM, Robotics and Factories of the futureCARS&FOF 2002, Oporto, Portugal
L. Moreno
Active human-mobile manipulator cooperation through intention recognition
IEEE International Conference on Robotics and Automation (ICRA'01), 2001, Seoul, Korea
D. Blanco M.A. Salichs
Active Human-Mobile Manipulator Cooperation Through Intention Recognition
IEEE International Conference on Robotics and Automation, 2001, Seoul, Korea
D. Blanco C. Balaguer M.A. Salichs
Kinematic Control of a Redundant Nonholonomic Mobile Manipulator for Singularity Avoidance.
9th International Conference on Advanced Robotics, ICAR´99, 1999, Tokyo, Japan
D. Blanco M.A. Salichs
On-line Identification of Dynamic Systems with Restricted Genetic Optimization
4th IFAC Workshop on Algorithms and Architectures for Real-Time Control, 1997, Vilamoura, Portugal
L. Moreno M.A. Salichs
A multisensor robot system for precise assembly based on force-torque compliance control strategy
IEEE International Workshop on Sensorial Integration for Industrial Robots (SIFIR?89), Zaragoza, Spain
Teaching Robot Planners Using a Practical Approach
15th International Technology, Education and Development , 2021, Online,
A. Mora R. Sánchez R. Barber