Max Robotics — Global Service Robot Directory + US Certification

About

Scott Koziol is a robotics and embedded systems researcher whose work spans autonomous navigation, analog circuit-based computation, and virtual reality evaluation. He is perhaps best known for his pioneering contributions to robot path planning using reconfigurable Analog Very Large Scale Integrated (AVLSI) circuits, demonstrating that Field Programmable Analog Arrays offer a flexible, hardware-efficient alternative to traditional digital planners — work that has accumulated over 50 citations across multiple publications. His 2018 paper on mobile robot path planning with a moving goal (31 citations) introduced an incremental algorithm enabling robots to efficiently chase dynamic targets, with direct relevance to unmanned aerial and underwater vehicles. Koziol has further advanced multi-objective path planning, potential field-based rendezvous strategies, and GPS Real-Time-Kinematics localization systems, reflecting a broad commitment to practical autonomous systems. His 2019 study on quantitative evaluation of six-degree-of-freedom virtual reality systems (23 citations) demonstrates interdisciplinary reach beyond robotics. More recently, his sensor fusion work for autonomous robot blimps highlights ongoing innovation in aerial platforms. Across more than a decade of research, Koziol has built a cohesive body of work bridging analog hardware design and intelligent autonomous navigation.