About this Research Topic
Nowadays, robots begin to blend more and more into our daily life supporting people in their daily tasks.
To allow for smarter and more flexible robots, while being involved in tedious operations, different kinds of planning, control, and signal processing techniques have been proposed and developed explosively. For example, redundancy resolution of industrial robots, simultaneous localization and mapping (SLAM) for mobile robots, dynamic and kinematic control of articulated robots, vibration suppression control of joint actuators, biofeedback signals processing for physical and/or cognitive interactions for human-robot. These techniques are beneficial to improve the stability, accuracy, intelligence, and efficiency of different types of robots for various tasks.
Advanced strategies for planning, control, and signal processing, are fundamental for granting reliable and promising performances based on the different types of robots.
Analyzing the underlying internal mechanisms (e.g., motion gearing and driving, task planning, and environment understanding) and suggesting new application paradigms will lead to a rapid evolution of the neurorobotics field, based on planning, control, and signal processing advanced strategies that will enhance robot’s performances during their tasks.
This Research Topic is devoted to collect state-of-the-art developments and research outcomes addressing the related theoretical and practical aspects regarding advanced methods and application planning, control and signal processing in a wide range of neurorobotic systems.
The aim is to provide a platform for researchers and practitioners to present and discuss innovative solutions.
Topics of interest include, but are not limited to:
• Advanced kinematics and dynamics modeling of robots
• Advanced motion planning and redundancy resolution of robots
• Dynamics models and dynamics-based controller design for robots
• Stability, disturbance rejection, and robustness in industrial and service applications
• Advanced biomedical signal processing
• Cooperative or semi-autonomous control of multi-robots
• Multi-modal based bio-signal processing and pattern recognition
• Intelligent wearable and assistive robotic devices
• Advanced control algorithm for special-type robots
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Keywords: Kinematics/dynamics modelling, motion planning, intelligent control, sensing fusion, physical/cognitive interaction, medical robots
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