About this Research Topic
Various attempts, including using hybrid structure systems, neural control, and embodied intelligence, have been made to mimic such impressive multimodal behaviors for robots. However, robots still fail in comparison to their biological counterparts in terms of adaptability, flexibility, and versatility, because this attempt involves the synthesis of structure, control, planning, and optimization. The multimodal concept, which has previously been realized in vehicle engineering and electrical engineering, will greatly improve the agility and intelligence of bio-inspired robots’ behavioral control, while also posing new challenges. Therefore, further research and new discussions related to the multimodal concept for robot behavior still need to be conducted.
Bio-inspired robots have been used to perform tasks in a variety of fields thanks to recent technological advancements. From a theoretical and engineering standpoint, it is preferable to create a robot with different behaviors to adapt to these different conditions rather than using special robots in specific situations. Multimodal behavior control appears to be the most effective way to contribute to this field. It can benefit from animals’ locomotion and increase the robot’s universality.
Aiming at this Research Topic, some key points should be noted. The design of mechanical structure for multimodal behavior should be taken into consideration (e.g., a combination of legged robot and wheeled robot, a hexapod robot that can transform into a quadruped or biped robot). Abundant sensory systems provide perception for the bio-inspired robot, which gives the possibility of automatic multimodal behavior control. Theoretical foundations are also welcome. Since biology is the source of the bio-inspired robot, we welcome research into mutual inspirations and enhancements between biology and engineering.
Topics of interest include but not limited to:
- Bio-inspired robots
- Mechanical design for multimodal behavior
- Sensor-driven behavior and locomotion control
- Multimodal sensory integration for multimodal behavior
- Theoretical foundations of multimodal behavior control
- Bio-inspired approaches for multimodal behavior
- Applications of multimodal behavior
- New trends in the multimodal control framework
Keywords: multimodal behavior, bio-inspired robot, locomotion control, embodied intelligence, multimodal sensory integration
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