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:
General Path Planning Methodology for Leader-Followers based Robot Formations
International Journal of Advanced Robotic Systems. num. 64 , vol. 10 , pages: 1 – 10 , 2013
S. Garrido L. Moreno J.V. Gomez P. Lima
Planning Robot Formations with Fast Marching Square Including Uncertainty Conditions
Robotics and Autonomous Systems. num. 2 , vol. 61 , pages: 137 – 152 , 2013
J.V. Gomez A. Lumbier S. Garrido L. Moreno

Entries:
Precision Grasp Planning Based on Fast Marching Square.
IEEE/RSJ 21st Mediterranean Conference on Control and Automation (MED) 2013., Platanias-Chani, Greece
J.V. Gomez D. Alvarez A. Lumbier S. Garrido L. Moreno
Kinesthetic Teaching via Fast Marching Square
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), 2012, Vila Moura, Portugal
J.V. Gomez D. Alvarez S. Garrido L. Moreno
Adaptive Robot Formations Using Fast Marching Square Working Under Uncertainty Conditions
IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO 2011), 2011, San Francisco , CA – EEUU
J.V. Gomez S. Garrido L. Moreno
Smooth Path Planning for non-holonomic robots using VFM
5th IEEE InternationalConference on Mechatronics (ICM 2009). http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4957121, 2009, Málaga, Spain
F. Martín S. Garrido D. Blanco L. Moreno
Improving RRT motion trajectories using VFM
5th IEEE InternationalConference on Mechatronics (ICM 2009). http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4957120, 2009, Málaga, Spain
F. Martín S. Garrido D. Blanco L. Moreno
Exploratory Navigation based on Voronoi Transform and Fast Marching
2007 IEEE International Symposium on Intelligent Signal Processing (WISP'2007), 2007, Alcala Henares, Spain
F. Martín S. Garrido D. Blanco L. Moreno
FM2: a real-time Fast Marching sensor based Path Planner
2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (ISBN: 1-4244-1264-1), 2007, Zurich, Swizerland
F. Martín S. Garrido D. Blanco L. Moreno
Path Planning for Mobile Robot Navigation using Voronoi Diagram and Fast Marching
IROS'06. The 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. , 2006, Beijing, China
F. Martín S. Garrido M. Abderrahim L. Moreno
Log of the inverse of the Distance Transform and Fast Marching applied to Path Planning
IROS'06. The 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006, Beijing, China
F. Martín S. Garrido D. Blanco L. Moreno

Entries:
Fusion Technologies and the Contribution of TECHNOFUSIÓN
chapter: Performance Study of the FM2 Planning Method for Remote Handling Operations in ITER Sección de Publicaciones de la UC3M , ISBN: 978-84-695-6616, 2012
J.V. Gomez S. Garrido L. Moreno

Previous Research topics

next Research topics