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:
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. Hern谩ndez C. G贸mez 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. Hern谩ndez C. G贸mez 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 Cient铆ficas Madrid, Espa帽a , ISBN: 978-84-608-8452-1, 2016
A. C. Hern谩ndez C. G贸mez J. Crespo R. Barber

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