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:
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:
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10th International Symposium on Advances in Robot Kinematics, 2006, Ljubljana, Slovenia
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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
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9th International Conference on Advanced Robotics, ICAR麓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
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Teaching Robot Planners Using a Practical Approach
15th International Technology, Education and Development , 2021, Online,
A. Mora R. S谩nchez R. Barber

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