Researchers from the University of Washington compared the performance of biological and mechanical components in animals and robots. They found that while robots outperform animals in subsystems such as power, frame, actuation, sensing, and control, animals excel in integrating these subsystems to achieve superior overall abilities. For example, animals use their muscles to perform complex movements, while robots struggle to match this level of dynamic movement. The researchers also noted that robots would need to be equipped with thousands of sensors to match the sensitivity and awareness of animals, and that biological energy storage and brain function outperform their robotic equivalents. However, they also pointed out that robotics has the advantage of being able to integrate advances across different machines and benefit from a multidisciplinary exchange of principles and approaches. The researchers believe that future generations of robots will be able to surpass the physical skills of animals, but will need to focus on improving the coordination of robotic subsystems and developing new materials and technologies.
Coping with Complexities: Biomechanical Innovation in Artificial-Animal Encounter
