Special Issue on Focused Areas and Future Trends of Bio-Inspired Robots “Analysis, Control, and Design for Bio-Inspired Robotics”

摘要

The science of biomimetics is about “the abstraction of good design from nature.” The goal of this scientific field is to identify specific desirable features in the biological systems and apply them to the design of new products or systems. Engineers, scientists, entrepreneurs, and business people are increasingly turning towards nature for design inspiration. The combination of biological principles, mechanical engineering, and robotics has opened entirely new areas and possibilities. On the other hand, we can see that nature can serve as an important source of inspiration to foster innovation. Industrial applications designers can exploit millions of years of tinkering and tweaking by borrowing from nature’s best designs and applying these to new problems and situations. Through biomimetics, we are able to learn and mimic the aforementioned abilities from biology to effectively promote the development of science and technology. In this special issue, you will find a total of eleven papers covering various biomimetics research with focus on analysis, control, design, and simulation. The articles in this issue are contributed by authors from several countries (USA, Japan, UK, China, Switzerland, Brunei, and Singapore) and are grouped into three categories: analysis, control, and design. In the first paper, Kim and Kurabayashi formulate the stability conditions for the artificial pheromone potential field. On the basis of the result of the stability analysis, they further presented a pheromone filter for making a smoothing kernel. The proposed filter was applied to the potential field with several peaks and used by the mobile agent. They are developing a fully automated pheromone robotic system, which aims at achieving a system closer to the natural biological world. In the second paper by Zhang and He, the influence of reciprocal effect between swimming models and morphologic on the fin propulsion performance is analyzed. From the simulation and experiments, they find that the compliance of the distribution mode of fin outline with amplitude envelope can generate better propulsion force. The results are useful for the optimal design of undulating robotic fins. For the third paper, Gouwanda and Senanayake introduce the use of wearable wireless gyroscopes for estimating gait stability. An experimental study was conducted to verify the validity of this approach. The result is expected to be employed in clinical research to assist clinicians and biomechanists in further study, which allows clinicians and biomechanists to devise appropriate strategies that improve human walking stability and reduce the risk of falls in the elderly. In another paper, Pang, Guo, and Song present an implementation of a continuous upper limb motion recognition method based on surface electromyography (sEMG) into control of an Upper Limb Exoskeleton Rehabilitation Device (ULERD). Experimental results showed that this method is effective for obtaining a control source through raw sEMG signals derived from the unaffected arm for motor control of a ULERD equipped on the affected arm during bilateral rehabilitation in real-time. There are three papers related to the control of bioinspired robots. In the paper by Sinnet and Ames, a sagittal walking is designed using Human-Inspired Control which produces human-like bipedal walking with good stability properties. The proposed control scheme, which is based on a fundamental understanding of human walking, is validated in both simulation and experiment. In the second paper, Cheng and Deng have presented a filtered-error based controller for attitude stabilization and tracking in flapping flight. By approximating nonlinear terms in the dynamic equation, the controller has successfully achieved stabilization and tracking tasks for two different insect models. Compared to a Linear Quadratic Gaussian (LQG) controller designed solely for stabilization purposes, the current controller achieves faster convergence and