soft robotics

A new AI controller modeled on biological synapses lets soft robotic arms handle novel tasks and unexpected disturbances without retraining, achieving over 92% shape accuracy under real-world disruptions.

A team led by North Carolina State University has demonstrated that magnetizing patterned elastic polymer sheets turns their chaotic snapping behavior into repeatable, sequential unfolding, boosting kinetic energy absorption by 30 percent.