Interdisciplinary Cognitive Robotics Team

Description
The current development of technology forces robots to interact with humans safely. These robots must be able to predict the effects of their actions and the environment's needs. To achieve this, two strands of research need to be combined: one on physical systems designed specifically for human interaction, the other focusing on control architectures that consider the need to gain and use experience. The combination of these areas led to the creation of cognitive robotics. It is a multidisciplinary science that draws on research in adaptive robotics, cognitive science, and artificial intelligence and often uses models based on biological cognition. The Department of Robotics and Mechatronics has researched robotics (including autonomous) for years and implemented machine learning methods for various engineering, design, and production tasks. Combining these two lines of research could create new methods of controlling and programming new types of robots. Research into the efficiency and new applications of this type of robot will enable the creation of efficient and precise algorithms capable of performing tasks previously unattainable for classic industrial robots in the context of production optimization and management. Work on the development of methods to ensure safety will play an important cognitive role.
Research facilities:
Mobilny robot kroczący

Contact




Leading unit

Faculty of Mechanical Engineering and Robotics - Department of Robotics and Mechatronics

Team leader

Klepka Andrzej

Team members

  • Pieczonka Łukasz
  • Bednarz Jarosław
  • Lisowski Wojciech
  • Koszyk Joanna
  • Bonar Bartłomiej
  • Brzychczy Edyta
  • Śnieżyński Bartłomiej
  • Jarosz Mateusz
  • Gajda Paweł

IDUB research areas

  • Intelligent information, telecommunication, computer, and control and operation technologies

Keywords

Agile mobile robót