Malavika Kesavan

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About

Malavika Kesavan is a researcher whose work sits at the fascinating intersection of animal behavior and bio-inspired robotics, with a primary focus on how insects navigate complex environments. Her key contributions center on the exploratory strategies of cockroaches, particularly their use of tactile cues like wall-following to find resources and shelter. In her most cited work, "How Cockroaches Employ Wall-Following for Exploration" (2014), Kesavan demonstrated that these insects rely on a stochastic, state-based algorithm to efficiently traverse unknown spaces, a finding that has garnered 4 citations. Her follow-up study, "How cockroaches exploit tactile boundaries to find new shelters" (2015), further revealed how these creatures use physical boundaries as navigational guides, earning 2 citations. Though her citation counts are modest, Kesavan’s research is notable for its direct implications for robotics: by decoding the simple yet effective decision-making rules of cockroaches, she has provided a blueprint for designing autonomous robots that can navigate cluttered, unfamiliar environments without complex sensors. Her work stands as a compelling example of how studying even the humblest organisms can yield elegant solutions to engineering challenges.