James Gross

Papers

Total Citations

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About

James Gross is a leading researcher at the intersection of wireless communications, industrial automation, and edge robotics. His work focuses on enabling real-time, reliable wireless control for mission-critical industrial applications, particularly where robots and programmable logic controllers (PLCs) must coordinate with low latency. A key contribution is his 2017 demonstration of a realistic wireless industrial automation use case—a robot picking and placing workpieces from a moving conveyor belt—which has become a benchmark scenario for the field, accumulating 9 citations for its practical, systems-level approach. More recently, his 2025 paper on "Quality of Control Based Resource Dimensioning for Collaborative Edge Robotics" (2 citations) tackles the pressing challenge of how wireless networks can be dimensioned to guarantee control performance in flexible, cloud-connected robotic systems. This work is pivotal for the future of Industry 4.0, where adaptability and real-time control are paramount. Gross’s research uniquely bridges theoretical resource allocation with tangible, demo-validated systems, making him a key figure in the push toward truly wireless, flexible, and intelligent industrial automation.