New Localization Methods and Motion Tracking Algorithms for Mechatronic Systems, Robots and Unmanned Vehicles

Dear Colleagues,

The localization problem of mobile robots/mechatronic systems is the first critical task that needs to be addressed in robot control applications. It outputs the pose estimate; the reliability of this result directly influences the success of control algorithms. The problem is solved in a sensor fusion framework, where generally relative and absolute poses are fused with different approaches, from probabilistic methods, over sophisticated mathematical applications, to deep learning models. The dynamic motion is described by relative sensor measurements along with their uncertainties; these sensors are encoders, magnetic, angular rate and gravity sensors (MARG), control speed signals, etc. Then, the absolute measurements, based on lidar, camera, GPS, or radio communication, are incorporated in uncertainty-driven observation models with the aim of correcting the previously obtained results. The combination of these models results in synergy in a recursive pose-estimation framework, which is the basis for nowadays state-of-the-art algorithms in motion tracking applications.

This Special Issue aims to invite high-quality research papers and up-to-date reviews that address new, challenging and interesting localization algorithms, sensor fusion solutions and motion tracking approaches in robotics/mechatronics applications. Topics of interest include, but are not limited to, the following:

• Low-cost embedded system-based solutions;
• Real-time and online sensor fusion algorithms;
• Machine-learning-/deep-learning-aided localization approaches;
• Artificial-intelligence-based sensor fusion solutions;
• Adaptive algorithms in localization;
• New sensor calibration techniques and multi sensor approaches;
• Pattern-recognition-based intelligent sensory solutions;
• Intelligent filtering algorithms and signal processing approaches;
• New dynamical model implementations in filtration;
• Novel sensor combinations and filter structures in localization solutions;
• Human–machine interface-based applications in motion tracking.

Dr. Akos Odry
Dr. Peter Sarcevic
Prof. Dr. Jozsef Sarosi
Guest Editors

Manuscript Submission Information

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• sensor fusion
• motion tracking
• localization
• state estimation
• sensor calibration
• applied robotics
• robot modeling
• model validation
• machine learning
• intelligent sensor systems
• pattern recognition