Mohan Parekh

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About

Mohan Parekh is a researcher at the intersection of robotics and granular mechanics, with a primary focus on developing computational frameworks for understanding robot–terrain interactions. His most notable contribution is the development of a coupled discrete element method (DEM) and multi-body dynamics (MBD) simulation framework, demonstrated in his 2023 study on a self-burrowing robot in dry sand. This work enables high-fidelity modeling of how robotic components interact with granular media, offering critical insights for designing robots that can navigate or anchor themselves in loose, deformable terrains—such as those found on beaches, deserts, or extraterrestrial surfaces. Although his most-cited paper currently holds three citations, its novelty lies in bridging two traditionally separate simulation domains, opening new pathways for bio-inspired robotics and geotechnical engineering. Parekh’s work is particularly relevant for applications in planetary exploration, search-and-rescue, and environmental monitoring, where robots must operate in challenging, non-cohesive soils. His research represents a foundational step toward more robust and adaptive robotic systems capable of autonomous burrowing and locomotion in complex granular environments.