Carmen Becker

Stanford University, Robotics Research (United States)

Papers

Total Citations

332

H-Index

About

Carmen Becker is a pioneering researcher in robotics and autonomous systems, whose work fundamentally addresses the intersection of motion planning and visual perception. Her primary research areas include robot navigation, visibility-based motion strategies, and reliable autonomous systems. Becker’s most influential contribution is her seminal 2002 paper, “Motion strategies for maintaining visibility of a moving target,” which has garnered 209 citations. In this work, she introduced the novel problem of computing robot motion strategies that simultaneously satisfy motion constraints (standard in motion planning) and visibility constraints (critical in visual tracking), laying the groundwork for active visual tracking and surveillance robotics. Her 2002 paper on “Reliable navigation using landmarks” (86 citations) further advanced the field by establishing a framework for long-term, failure-free navigation through clear assumptions and engineered workspaces. Additionally, her 1997 work “An intelligent observer” (37 citations) explored early concepts in active perception. Becker’s research has profoundly influenced the development of robots that can autonomously track targets and navigate reliably in complex environments, making her a key figure in the evolution of intelligent, perceptive robotic systems.