Anthony Lazanas

Papers

Total Citations

246

H-Index

About

Anthony Lazanas is a robotics researcher whose work has made significant contributions to the field of motion planning under uncertainty. Active primarily in the early-to-mid 1990s, Lazanas focused on one of robotics' most fundamental challenges: enabling autonomous robots to navigate and operate effectively when both their control mechanisms and sensory inputs are imprecise or unreliable. His most influential work, "Robot Motion Planning with Uncertainty in Control and Sensing" (1991, 111 citations), laid important groundwork for understanding how robots can plan reliable trajectories despite inherent imperfections in real-world systems. Building on this foundation, he developed a landmark-based approach to navigation, explored across multiple publications including "Motion Planning with Uncertainty: A Landmark Approach" (1995, 96 citations) and "Landmark-Based Robot Navigation" (1992, 34 citations). This body of work introduced the concept of strategically selecting environmental landmarks during the planning phase, ensuring that robots could gather sufficient sensory information during execution to correctly identify and traverse intended states — a practically elegant solution to a theoretically complex problem. With over 240 combined citations across his core works, Lazanas helped shape modern thinking about probabilistic and sensor-aware robot navigation, influencing subsequent generations of researchers working on autonomous systems and intelligent robotics.