Modeling, Sensor Fusion and Control Techniques in Applied Robotics, 2nd Edition

Dear Colleagues,

Following the success of our previous Special Issue, titled “Modeling, Sensor Fusion and Control Techniques in Applied Robotics ” (https://www.mdpi.com/journal/machines/special_issues/robotics_machines), we are pleased to announce the next Special Issue in the series, titled “Modeling, Sensor Fusion and Control Techniques in Applied Robotics, 2nd Edition”.

The realization of precise, robust, and intelligent control solutions is based on multiple coordinated design steps in modern robot systems. These design steps include (i) the development of task-oriented mechatronics systems, (ii) both the derivation and validation of realistic mathematical models, (iii) the calibration of the applied sensor networks, (iv) the estimation of robot states and parameters, and (v) both the design and implementation of intelligent control solutions that provide an energy-efficient and robust performance. This Special Issue aims to present novel efficient techniques that enable the enhancement of overall closed-loop performances in real robot systems (e.g., in mobile robots, UAVs, and robot manipulators). 

Reports on recent research on the topics listed below is invited, and review papers are also welcome. 

• Optimized mechanical structures in robotic applications that enable efficient trajectory tracking and translation motion. The analysis can also be extended to vibration diagnostics-based designs, which aim to reduce the levels and patterns of unwanted signals.
• Novel robot modeling and model validation techniques, which provide both relevant and realistic information on real system states. These techniques include novel simulation models and contribute to the obtainment of reliable deductions connected to the behavior of dynamical systems.
• Fusion algorithms of sensor networks for sampling robot dynamics. These algorithms can include novel filter structures, sensor calibration techniques, and both robust and reliable state estimation methods. Novel measurement solutions that enable the effective derivation of robot states and parameters can also be proposed.
• Novel energy-efficient control solutions that provide a superior performance compared with the conventional methods. Reports on the implementation of robust control approaches that both handle the parameter uncertainties/measurement disturbances and ensure a satisfying control performance are also welcome.
• Efficient image processing methods that aim to provide the basis for motion planning and reliable trajectory tracking in robot systems.
• Applied industrial solutions in robot systems, which present complex design, implementation, and test results, e.g., artificial intelligence-, IoT-, soft computing-, and/or Industry 4.0-based intelligent robotic solutions in agriculture, construction, medicine, rehabilitation, and biological research. 

Yours faithfully,

Dr. Akos Odry
Prof. Dr. Peter Odry
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• applied robotics
• robot modeling
• model validation
• nonlinear dynamics
• sensor fusion
• state estimation
• sensor calibration
• robust/adaptive control
• fuzzy systems
• servo systems
• stability problems
• vibrations

• Modeling, Sensor Fusion and Control Techniques in Applied Robotics in Machines (17 articles)