Special Issue "Biologically Inspired Robotic Mechanisms, Control, and Multimodal Sensor Fusion for Human-Robot Coexistence"
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 2923
Interests: biologically inspired robot and control; multi-DOF robotic systems; humanoids; wearable robots; human–robot interaction system and control
Interests: disturbance observer; robust control; model predictive control; robot manipulator; optimization; nonlinear control; estimation
Special Issues, Collections and Topics in MDPI journals
Robotic applications involving interactions between multi-DOF robotic systems and robot–environment and human–robot interactions play a more significant role in our daily lives that ever before and expanding rapidly. Biologically inspired robotic techniques to overcome existing limitations foster the dissemination of new robotic discoveries and applications that help and support humans. Although great progress has been achieved in recent years, there are still open issues due to the limitations in technology combined with insufficient knowledge about humans. Designing innovative robotic mechanisms, developing efficient and reliable control strategies, and realizing new cognitive sensor systems akin to humans or animals can be key technologies to advance current robot technologies. In addition, in recent years, applying data-driven technologies such as machine learning for perception and reinforcement learning for control to unexplored problems is another promising research direction.
Attention in this Special Issue is particularly focused on the various integrations of robotics with biologically inspired mechatronics systems and control technology, and cognitive sensor systems with the goal of developing new multidimensional robotic service. This includes mechanism modeling and design, intelligent control, cognitive algorithm and sensor fusion, robot learning, and cognitive modeling for human–robot collaboration.
Prof. Dr. Woosung Yang
Prof. Dr. Juhoon Back
Manuscript Submission Information
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- Design, modeling, and control of multi-DOF robotic systems
- Biologically inspired mechanisms and applications
- Development of biomechatronic systems for human-centered robots
- Human-in-loop cooperative robotic systems and compliant control
- Human intention and disturbance estimation
- Vision, sensing, perception, and navigation
- Collaborative robots and human–robot interaction
- Control of multiple robots and network systems
- Artificial intelligence, machine learning
- Multimodal senser system