Coordinating the motion between lower and upper limbs and aligning limb control with perception are substantial challenges in robotics, particularly in dynamic environments. To this end, we introduce ...

Researchers have developed a neuron-inspired controller for soft robots that combines offline learning with real-time adaptation, cutting tracking errors by more than 44 % under stress while ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...