Stephen Vidas

Papers

Total Citations

110

H-Index

About

Stephen Vidas is a leading researcher in robotics and autonomous systems, with a primary focus on robust robot navigation and human-robot collaboration. His work addresses critical challenges in persistent robotic operation, particularly the ability to recognize locations across varying lighting conditions—a key hurdle for vision-based outdoor navigation. Vidas’s seminal paper, "Towards robust night and day place recognition using visible and thermal imaging" (2012, 39 citations), pioneered the fusion of visible and thermal imaging to enable reliable place recognition from day to night, offering a cost-effective alternative to LIDAR-based systems. He has also made significant contributions to human-robot interaction, as seen in "Human-Guided Robotic Comanipulation: Two Illustrative Scenarios" (2016, 38 citations), which explores control strategies that leverage both human intuition and robotic precision for physical collaboration. In applied robotics, Vidas advanced industrial automation with "Automated Robot Picking System for E-Commerce Fulfillment Warehouse Application" (2015, 33 citations), demonstrating practical solutions for e-commerce logistics. With over 100 total citations, his work bridges fundamental research and real-world deployment, influencing fields from field robotics to manufacturing. Vidas’s interdisciplinary approach continues to shape how robots perceive and interact with dynamic environments.