Kenneth Chaney

University of Pennsylvania, California University of Pennsylvania, Drexel University

Papers

Total Citations

H-Index

About

Kenneth Chaney is a leading researcher in robotics and computer vision, specializing in multi-sensor perception and high-speed autonomy. His key research areas include event-based vision, multi-robot systems, and industrial inspection robotics. Chaney’s most impactful contribution is the **M3ED dataset** (50+ citations), the first multi-sensor event camera dataset designed for high-speed dynamic motions in robotics. This work provides synchronized, labeled data from ground, legged, and aerial robots, enabling breakthroughs in low-latency perception for challenging environments. He also pioneered **self-supervised optical flow using spiking neural networks** (14 citations), combining event-based cameras with neuromorphic computing to achieve ultra-fast obstacle detection—critical for agile robotics. Earlier, Chaney developed a **remotely-operated ground vehicle framework** for industrial hygiene, integrating gas and chemical sensors for hazardous environment inspection. His work bridges theoretical advances in event-driven sensing with practical deployment in robotics, earning recognition for pushing the boundaries of real-time perception. With a focus on enabling robots to operate reliably in dynamic, unstructured settings, Chaney’s research continues to shape the future of autonomous systems.