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About

Greg Fletcher is a computer scientist whose research sits at the intersection of robotics, wireless sensor networks, and distributed algorithms. His work has made significant contributions to the field of autonomous sensor deployment and coverage optimization, addressing fundamental challenges in how robotic systems can intelligently place and relocate sensors across complex environments. Fletcher's most influential contribution is the Back-Tracking Deployment (BTD) algorithm, introduced in his 2010 paper (47 citations), which enables teams of mobile carrier robots to systematically deploy static sensors across virtual grid structures in bounded 2D environments. This foundational work spawned a productive research thread, culminating in a 2014 study (33 citations) that extended BTD to guarantee full area coverage and termination in previously unsolved scenarios involving complex, unknown regions of interest. Parallel to this, Fletcher has tackled the critical problem of coverage repair in wireless sensor networks, proposing randomized relocation strategies that address unpredictable node failures and sensing holes. His 2010 paper on stochastic sensor relocation (42 citations) and its 2012 follow-up (37 citations) together established practical frameworks for maintaining robust network coverage without requiring all sensors to be mobile. With over 150 combined citations, Fletcher's body of work represents a meaningful advance in autonomous, scalable sensor network management.