Researchers are developing a collective of robots that mimics the behavior of a material, blending robotics with material science and biological insights.
The robots can adapt, transform, and exhibit properties similar to living organisms, driven by a vision for future robotic systems.
Drawing inspiration from embryonic tissues, the robots can switch between solid and fluid states, reflecting living systems' capabilities.
Internal mechanisms and inter-unit forces control the robots' emergent properties, enhancing their dynamic shape-shifting abilities.
Researchers used mechanical components and light sensors to facilitate coordinated movements and environmental perception in the robotic collective.
The concept of adhesion among robots, enabled by integrated magnets, allows for cohesive or fluid behavior based on task requirements.
Signal fluctuations and inter-unit forces play a crucial role in shaping the robots' adaptability and efficiency in tasks.
The collective can transition between rigid and dynamic states, conserving energy and offering versatility in robotic applications.
This research opens doors to understanding active matter principles and phase transitions, potentially advancing intelligent materials and adaptive systems.
Future developments may lead to larger, more versatile robotic assemblies with machine learning-enhanced capabilities, reshaping material science and robotics.