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Jonathan Aitken
Also published under:Jonathan M. Aitken
Affiliation
Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, U.K.
Topic
Pipe Network,Point Cloud,Sewer Pipes,Simultaneous Localization And Mapping,Autonomic System,Bundle Adjustment,Deep Convolutional Neural Network,Loop Closure,Map Points,Mobile Robot,Pose Estimation,Real-world Data,Visual Odometry,Visual Simultaneous Localization,360-degree Video,3D Simulation,3D Space,Acoustic Sensors,Attention Regions,Bag-of-words,Basal Ganglia,Bioinspired,Bioinspired Design Principles,Bounding Box,Camera Calibration,Camera Images,Camera Movement,Camera Pose,Chi-Square Χ2,Computational Efficiency,Convolutional Neural Network,Cost Function,Current Frame,Cylindrical Coordinate System,Cylindrical Surface,Deep Neural Network,Degrees Of Freedom,Digital Components,Digital Twin,Discrete Channel,Euler Angles,Extended Kalman Filter,Eye Movements,Field Of Manufacturing,Field Of View,Fixation Duration,Geographic Information System,Global Positioning System,Graphics Processing Unit,Ground Penetrating Radar,
Biography
Jonathan M. Aitken received the M.Eng. and Ph.D. degrees in electronic engineering from the University of York, York, U.K., in 2005 and 2009, respectively. From 2009 to 2013, he worked as a Postdoctoral Researcher with the High Integrity Systems Engineering Group, Department of Computer Science, University of York. He joined the Department of Automatic Control and Systems Engineering, The University of Sheffield, as a Research Fellow, in 2013, working on the development of long-term autonomy for robotics in nuclear environments. Since 2018, he has been a University Teacher in Robotics with active research interests in situational awareness, collaborative robotics, and digital twins for robotic systems.