Hardware architecture for humanoids

Harddef

Description

In contrast to industrial robots a humanoid robot will interact with a person in the same workspace. To be able to interact with a human and to operate in like a human mode, sensorimotor skills of the robot are required. The humanoid robot must be equipped with actuators and with a number of different sensors to control its movements and monitor its state and to avoid collisions with humans or objects in the environment.

Summarizing the requirements there are:

? hardware architecture must comply with needed computing power
? scalability
? modularity
? standardized interfaces

Especially in humanoid robots there are additional requirements like:

? energy efficiency
? small outline
? lightweight
? small effort in cabling

The main goal of the humanoid robot control system is provide it with stable walking and avoid fallings down. To do this we generate motion pat-terns for each articulation according to the ZMP (Zero Moment Point) theory. The humanoid robot do not falls down when the target ZMP is inside of the support polygon made by the supporting leg(s).

Hardware architecture

Figure 1 shows an overview of the hardware structure. Presented architecture is provided with large level of scalability and modularity by dividing the hardware system into three basic layers. Each layer is represented as a controller centered on its own task such as external communications, motion controller?s network supervision, and general control.

Fig.1 Harware architecture

Bottom level software architecture

We developed the bottom level software for the advanced motion control system. It configures intelligent motion controllers, establishes CAN communication, controls trajectory execution and collects motion data which is used in humanoid robot control process. Figure 2 shows the bottom level software architecture.

Fig.2 Software architecture

Entries:
A new approach to modelling emotions and their use on a decision making system for artificial agent
IEEE Transactions on Affective Computing . num. 1 , vol. 3 , pages: 56 – 68 , 2012
M. Malfaz M.A. Salichs
Tracking moving optima using Kalman-based predictions
Evolutionary Computation (ISSN: 1063-6560). num. 1 , vol. 16 , pages: 1 – 38 , 2008
J.C. Diaz M. Abderrahim
Pose Estimation for Variable Configuration Objects:an Evolutionary Approach to Vision-based Navigation and Inspection
WSEAS Transactions on Information Science & Applications. num. 3 , vol. 3 , pages: 538 – 545 , 2006
J.C. Diaz M. Abderrahim
Visual Approach Skill for a Mobile Robot using Learning and Fusion of Simple Skills
Robotics and Autonomous Systems. num. 3 , vol. 38 , pages: 157 – 170 , 2002
R. Barber M.A. Salichs

Entries:
Mechatronics Testbed for Vision based Navigation
9th Mechatronics Forum International Conference (Mechatronics2004), 2004, Ankara, Turkey
J.C. Diaz M. Abderrahim M.A. Salichs
An Evolutionary Algorithm for Model-Based Pose Estimation and Tracking
The International Conference on Visual Information Engineering (VIE 2005), 2005, Glasgow, UK
J.C. Diaz M. Abderrahim
Traffic Sign Recognition for Autonomous Vehicles
International symposium on Advanced Transportation Applications, 1994, Aachen, Germany
L. Moreno M.A. Salichs
A control System Based on Reactive Skills for Autonomous Mobile Robots
The 11th International Conference on Advanced Robotics, 2003, Coimbra, Portugal
R. Barber M.A. Salichs
A Perception System based on Laser Information for Mobile Robot Topologic Navigation
IEEE Int. Conference on Industrial Electronics, Control and Instrumentation, 2002, Sevilla, Spain
R. Barber M.A. Salichs
Visual Tracking Skill Reinforcement Learning for a Mobile Robot
IFAC Symposium on Intelligent Autonomous Vehicles, 2002, Sapporo, Japan
M.A. Salichs
Detección y Clasificación de señales de tráfico mediante redes neuronales
4º Congreso de la Asociación Española de Robótica, Zaragoza, Spain
L. Moreno M.A. Salichs
Percepción de Carreteras y Detección de Señales de Tráfico
XVI Jornadas de Automática, 1995, San Sebastian, Spain
L. Moreno M.A. Salichs
Adaptive control of a DC motor for educational practices
ACE2013 The 10th IFAC Symposium on Advances in Control Education , 2013, Sheffield, UK
S. Garrido R. Barber
Object Reconstruction and Recognition leveraging an RGB-D camera.
In proceedings Twelfth IAPR Conference on Machine Vision Applications, -,
N. Burrus J.G. Bueno M. Abderrahim L. Moreno
Assistive robots dependability in domestic environment: the ASIBOT kitchen test bed
IARP-IEEE/RAS-EURON Joint Workshop on Shared Control for Robotic Ultra-operations, San Diego, California, Oct 28-30, 2007, 2007, San Diego, CA, EEUU
A. Gimenez S. Martinez A. Jardon
Modified SoftPOSIT algorithm for 3D visual tracking
2007 IEEE International Symposium on Intelligent Signal Processing (WISP'2007), 2007, Alcala Henares, Spain
J.C. Diaz M. Abderrahim
Visual Inspection System for Autonomous Robotic On-Orbit Satellite Servicing
ASTRA2006: 9th ESA Workshop on Advanced Space Technologies for Robotics and Automation, 2006, Noordwijk, The Netherlands
J.C. Diaz M. Abderrahim
Automated Visual Inspection for Robotic On-Orbit Servicing
MX2006: The 10th Mechatronics Forum Biennial International Conference, 2006, Malvern, Pennsy, USA
J.C. Diaz M. Abderrahim
Evolutionary Model-Based Pose Estimation for Variable Configuration Objects
ISPRA 2006: 5th WSEAS International Conference on Signal Processing, Robotics and Automation, 2006, Alcala Henares, Spain
J.C. Diaz M. Abderrahim
Satellite Relative Navigation Based on Visual Feedback
i-SAIRAS2005: 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space, 2005, Münich, Germany
J.C. Diaz M. Abderrahim M.A. Salichs
EvoPose: A Model-based Pose Estimation Algorithmwith Correspondences Determination
IEEE InternationalConference on Mechatronics and Automation (ICMA 2005), 2005, Niagara Falls,, Canada
J.C. Diaz M. Abderrahim
Experimental Simulation of Satellite Relative Navigation using Computer Vision
RAST2005: 2nd International Conference on Recent Advances in Space Technologies, 2005, Istanbul, Turkey
J.C. Diaz M. Abderrahim M.A. Salichs

Entries:
Grasping in Robotics
chapter: A survey on different control techniques for grasping pages: 223 – 246. SPRINGER NETHERLANDS EDITORIAL , ISBN: 978-3-540-71363, 2013
R. Cabas A. Gimenez S. Martinez A. Jardon
Seguimiento e identificación de objetos
chapter: Estimación de la posición y la orientación de objetos 3D basado en modelación geométrica pages: 1 – 8. A. Grau, A. Sanfeliu et al. (UPC, Servicio de Publicaciones) , ISBN: 84-7653-849-9, 2004
J.C. Diaz M. Abderrahim M.A. Salichs

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