Expertise and Research Topics

Robotics Laboratory offers broad knowledge and experience in robotics, automation and control engineering. Special competency is focused on humanoid, service and rehabilitation robotics, with emphasis on the following particular topics:

We are strongly oriented towards design of robotic hardware/software and practical implementation of robotic systems in industry, medicine, society, education, ecology, etc. Our research directions are oriented towards advanced implementations of bio-technologies and artificial intelligence in different areas of human activities, with aim to improve the quality of human life.

Advanced Robotic Cognition

The research in area of cognitive robotics is concerned with endowing robots with mammalian and human-like cognitive capabilities to enable the achievement of complex goals in complex environments.. Robotic cognitive capabilities include perception based on sensor fusion, processing, attention allocation, anticipation, simultaneous localization and mapping, motion planning, space and context reasoning, autonomous navigation, learning , decision making and human-robot interaction.

Our research deals with the development of various platforms of robotic systems, which navigate autonomously in open and changing environments and learn through interaction with the surroundings to cope with interruptions in communication, component failures and independently identifying options for acting. The considered robotic systems are wheel-driven robots and humanoid robots and other walking machines, as all-terrain vehicles. Main points of current research in the area of the advanced cognitive robotics are:

Modeling and Control of Humanoid Robots

Humanoid robotics hardware and control techniques have advanced rapidly during the last years. In order to improve the autonomy and overall functionality of these robots, reliable sensors and general integrated software tools and techniques are needed. It is easier for bipedal robots to exist in a human oriented environment than for other types of robots. For a biped robot to achieve dynamic balance while walking, practical motion planning algorithms with obstacle avoidance and dynamic gait algoitms must be developed. A biped robot also requires a control system to ensure the stability of the robot while walking.

Human Bio-Cybernetics

Service Robotics

Unmanned Autonomous Robotic Systems

Multi Robot Systems

Modeling and Control of Robot Manipulators