Janusz Bȩdkowski

Warsaw University of TechnologyPoland

Janusz Bedkowski, Ph.D. in Automation and Robotics, adjunct in Institute of Automation and Robotics-Warsaw University of Technology. From 2006 to 2011, he collaborated with Industrial Research Institute for Automation and Measurements, Warsaw, Poland, concerning multi robotic inspection-intervention system development and integration. From 2009 to 2011, he collaborated with Institute of Mathematical Machines, Warsaw, Poland concerning mobile robot operator training tool development and semantic mapping. Dr. Bedkowski was granted a postdoctoral scholarship (CAS/19/POKL 15.05.2011-15.11.2011) in the Royal Military Academy (RMA), Brussels, Belgium, funded by Center for Advanced Studies, Warsaw University of Technology. His research interests are in inspection intervention robot systems, semantic mapping including 3D cloud of points processing, 6D SLAM, mobile robot operator training with AR techniques, and GPGPU computing applied for mobile robotics.

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Latest work with IntechOpen by Janusz Bȩdkowski

The objective of this book is to cover advances of mobile robotics and related technologies applied for multi robot systems' design and development. Design of control system is a complex issue, requiring the application of information technologies to link the robots into a single network. Human robot interface becomes a demanding task, especially when we try to use sophisticated methods for brain signal processing. Generated electrophysiological signals can be used to command different devices, such as cars, wheelchair or even video games. A number of developments in navigation and path planning, including parallel programming, can be observed. Cooperative path planning, formation control of multi robotic agents, communication and distance measurement between agents are shown. Training of the mobile robot operators is very difficult task also because of several factors related to different task execution. The presented improvement is related to environment model generation based on autonomous mobile robot observations.

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