Core Insights - Soft robotics is a promising branch of robotics, showcasing significant potential in fields such as smart agriculture, underwater robotics, and human-robot interaction and rehabilitation [1] - Traditional robots often rely on centralized processors, which limits their speed and adaptability in complex environments, highlighting the need for new control and drive technologies [1] Group 1: Innovative Motion Strategies - Researchers from the Netherlands proposed a new strategy for rapid autonomous movement in robots, based on self-oscillating limbs and physical interactions with the environment [3] - The study published in "Science" demonstrates that multi-limb robots can achieve rapid movement and obstacle avoidance through explicit fluid coupling and implicit environmental interaction [5] Group 2: Biomimetic Design - The self-oscillating limbs are inspired by the movement mechanisms of animals, such as starfish, which coordinate their limbs through decentralized neural control [7] - The design utilizes soft tubes that oscillate independently to drive the robot's locomotion, mimicking natural movement patterns [7] Group 3: Coupling Technologies - A multi-limb coupling technology was developed to integrate individual self-oscillating limbs into a multi-limb system, enabling synchronized movement [11] - The resulting soft robot exhibits performance metrics comparable to fast-moving invertebrates, such as cockroaches, in terms of size, weight, and speed [14] Group 4: Wireless Operation - The researchers improved the design to create a truly wireless soft robot powered by micro air pumps and lithium polymer batteries, allowing for untethered operation [15] - The robot can autonomously jump at a frequency of approximately 2 Hz, significantly faster than existing wireless soft robots [17] Group 5: Future Prospects - The self-oscillating limb synchronization technology represents a breakthrough in soft robotics, enabling collaborative ultra-fast movement and autonomous behaviors [18] - Future developments may integrate advanced materials science, fluid dynamics, and robotic design to create smarter, more efficient robots capable of adapting to complex environments [18]