Gershon Parent

Microsoft (United States), Microsoft Research (United Kingdom)

Papers

Total Citations

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About

Gershon Parent is a leading researcher in the field of mobile robotics, with a primary focus on developing practical, cost-effective solutions for indoor navigation and localization. His most significant contributions center on democratizing access to reliable robotic navigation by leveraging inexpensive, off-the-shelf hardware. Parent’s seminal 2015 paper, "An Experimental Protocol for Benchmarking Robotic Indoor Navigation" (31 citations), established a standardized framework for evaluating system performance, a critical step for reproducible research. He is perhaps best known for his work on "Reliable kinect-based navigation in large indoor environments" (16 citations), where he pioneered methods to overcome the high noise levels of the Microsoft Kinect sensor, proving that affordable depth cameras could rival expensive laser scanners for large-scale mapping. To validate these systems, Parent also developed "An inexpensive method for evaluating the localization performance of a mobile robot navigation system" (14 citations), which uses simple printed landmarks instead of costly external tracking systems. This body of work has made high-fidelity navigation research more accessible, directly impacting the development of low-cost service and domestic robots.