Designing robotic systems that can change their physical form factor as well as their compliance to adapt to environmental constraints remains a major conceptual and technical challenge. To address this, we introduce the Granulobot, a modular system that blurs the distinction between soft, modular, and swarm robotics. The system consists of gear-like units that each contain a single actuator such that units can self-assemble into larger, granular aggregates using magnetic coupling. These aggregates can reconfigure dynamically and also split up into subsystems that might later recombine. Aggregates can self-organize into collective states with solid- and liquid-like properties, thus displaying widely differing compliances. These states can be perturbed locally via actuators or externally via mechanical feedback from the environment to produce adaptive shape shifting in a decentralized manner. This in turn can generate locomotion strategies adapted to different conditions. Aggregates can move over obstacles without using external sensors or coordinate to maintain a steady gait over different surfaces without electronic communication among units. The modular design highlights a physical, morphological form of control that advances the development of resilient robotic systems with the ability to morph and adapt to different functions and conditions.
翻译:设计能够改变其物理形态和适应环境限制的机器人系统一直是一个主要概念和技术挑战。为了解决这个问题,我们介绍了颗粒机器人(Granulobot),这是一种模块化系统,它模糊了软体、模块化和群体机器人之间的区别。该系统由齿轮状单元组成,每个单元都包含一个单一的执行器,以便单元可以使用磁耦合自组装成较大的颗粒聚合物。这些聚合物可以动态重新配置,也可以分裂成子系统,稍后再重新组合。聚合物可以自组织成具有固体和液态性质的集体状态,从而显示出广泛不同的顺应性。这些状态可以通过执行器在局部进行干扰,也可以通过来自环境的机械反馈在外部进行干扰,以分散的方式产生自适应形状变化。这反过来可以产生适应不同条件的机动策略。聚合体可以在不使用外部传感器的情况下超越障碍物移动,或者协调在不使用电子通信的情况下在不同表面上保持稳定步态。模块化设计强调了一种物理形态的控制,推动了具有形态和适应不同功能和条件的弹性机器人系统的发展。