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Research & Development Profile
     Robotics
   

The main activity of the Institute’s Robotic Centre is primarily concerned with the following thematic topics:

Dynamics and dynamic position-force control of robots and robotized systems interacting with dynamic environment, where we are in addition to the fundamental Model-Based Method applying also Connectionist Algorithms for Advanced Learning Control. This dynamic approach to the complex problem of wide-spectrum of contact tasks has been presented in the recent several years in more than 40 papers published in eminent international journals as well as in 3 international research monographs in English.

Humanoid robotics addresses a rather important question: what are dynamic effect that one should take care of when modeling and simulating a human or a humanoid? As a final result a General Human/Humanoid – Dynamic Simulator is seen.

This topic has been included in the national project that is currently in progress, entitled "Simulation and Experimental Platform for Design and Control of Service Robots", supported by Serbian Ministry of Science, Development and Technology. Our task is to develop a simulator of humanoid robots and a controller of their whole body motions in the National Robotics Project. The simulator can imitate the dynamics of the motions of the robots whose structure may vary, and generate a sequence of the fields of view from the eyes of the robot according to the motions. The controller can handle a biped locomotion, a dynamic balance control at the standing position, and collision avoidance motions for the robots.

Modern robotic controllers dedicated to control of humanoid robots, educational robots and active rehabilitation devices of orthoses and prostheses. All the controllers have as their basis PC platforms with the upgraded specially developed PC-104 modules for independent control of each actuator separately. The controllers are capable of accepting all known sensors giving information about position, force, current or voltage in the system.

 
   

Related Research Fields

> Automaton & Control

> Knowledge-based Systems

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