Max Robotics — Global Service Robot Directory + US Certification

About

Ningyuan Cao is a leading researcher at the intersection of energy-efficient edge intelligence and swarm robotics, pioneering hybrid-digital-mixed-signal computing platforms that dramatically reduce power consumption while maintaining high performance. His most influential work, published in 2019, introduced a 65nm computing platform achieving an impressive 1.1-to-9.1 TOPS/W efficiency—a breakthrough that enables the practical deployment of swarm robotics systems inspired by biological collective behaviors. This seminal paper has garnered 31 citations and demonstrates how seemingly simple robotic elements can interact to solve complex problems through energy-efficient computation. Cao's contributions extend to ultra-low-power computer vision, where he developed a light-powered smart camera capable of "always-on" gesture detection directly from compressed measurements, eliminating the need for power-hungry full-resolution processing. His work spans voltage ranges from 1.0V down to 0.36V, showcasing robust operation across diverse power constraints. By combining mixed-signal circuit design with algorithmic innovation, Cao has established a foundation for next-generation autonomous systems that can operate for extended periods on harvested energy, making him a pivotal figure in the advancement of intelligent, energy-autonomous edge devices.