Researchers at the University of Bristol have developed a soft robot inspired by the octopus’s nervous system that can autonomously adapt its movements and grip to its environment. The work, published in Science Robotics, introduces a system that uses fluid flow through suction cups to both grasp and sense objects, eliminating the need for centralized computation.
The robot employs a form of what the researchers term “embodied suction intelligence,” where suction cups respond to their surroundings through changes in air or water pressure. This approach allows the robot to identify contact with various surfaces, gauge texture, and estimate the force exerted on it. According to the team, the system integrates low-level mechanical responses with high-level environmental sensing, enabling it to perform tasks such as grasping fragile objects or conforming to irregular shapes without prior programming.
Lead author Tianqi Yue stated that the research extends previous work on artificial suction cups by incorporating elements of the octopus’s neuromuscular structure. The robot coordinates movement and suction through local fluidic circuits, aiming to replicate the decentralized control seen in octopus limbs.
Potential applications for this technology include agricultural handling of delicate produce, manipulation of fragile components in manufacturing, anchoring medical instruments within the human body, and development of soft, interactive consumer products. The research team is currently focused on miniaturizing the system and enhancing its durability for practical use. Future plans include integration with smart materials and artificial intelligence to increase adaptability in complex environments.
Photo credit: Tianqi Yue
