Evan Clearesta

Papers

Total Citations

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About

Dr. Evan Clearesta is a robotics researcher whose work focuses on advancing mobile robot localization, a critical capability that enables robots to determine their position and navigate autonomously. His most-cited paper, "Mobile robot localization using modified particle filter" (2013), addresses a fundamental challenge in the field: the high computational demands of traditional particle filter methods. By proposing a modified approach, Clearesta has contributed to more efficient and practical localization solutions, helping robots plan movements and reach desired locations with greater accuracy. While his citation count (10 citations for his top paper) reflects a focused, emerging impact, his work is foundational for students and engineers seeking to optimize robot navigation in real-world environments. Clearesta’s research sits at the intersection of probabilistic robotics and real-time systems, offering a stepping stone for further innovations in autonomous mobile robots. His contributions underscore the importance of balancing computational efficiency with localization precision—a key concern for applications ranging from warehouse automation to autonomous vehicles.