Max Robotics — Global Service Robot Directory + US Certification

About

Collin Wang’s research lies at the intersection of robotics, assembly automation, and human-machine collaboration, with a particular focus on optimizing printed circuit board (PCB) assembly processes. His most influential work introduces a dynamic point specification approach for sequencing robot movements, which significantly reduces component placement time—a critical bottleneck in manufacturing. Wang’s 1995 paper on this topic, with 24 citations, remains a foundational reference in robotic assembly efficiency. He further advanced the field by exploring virtual reality-based control systems, including an instrumented glove interface that enables intuitive, point-and-direct robot programming. His 1994 paper on this system has garnered 22 citations, highlighting its impact on human-robot interaction. Wang also developed heuristics for assembly sequencing and magazine assignment (20 citations) and proposed innovative layout designs for robotic PCB cells, such as multi-magazine and multi-board configurations. His work on integrating virtual tools with collision avoidance using conglomerates of spheres (9 citations) demonstrates a forward-thinking approach to safe, collaborative robotics. Through these contributions, Wang has shaped practical strategies for improving speed, flexibility, and safety in automated assembly environments.