Siddharth Gupta

Birla Institute of Technology and Science, Pilani - Goa Campus, Ben-Gurion University of the Negev

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About

Siddharth Gupta’s research lies at the intersection of robotics, computational geometry, and parameterized complexity, with a focus on motion planning for modular and snake-like robots. His work addresses fundamental challenges in autonomous navigation, particularly the difficulty of collision detection in modular systems—a problem he characterizes as both easy to cause and hard to avoid. In his most-cited paper (2024, 5 citations), Gupta provides critical insights into the inherent computational hurdles of collision avoidance for reconfigurable robots. His earlier work (2019, 2 citations) explores the parameterized complexity of motion planning for snake-like robots, drawing inspiration from the classic game Snake. This research models real-world scenarios such as the coordinated movement of linked wagons or ant-like agent swarms, offering theoretical foundations for planning paths in constrained environments. By bridging algorithmic theory with practical robotics, Gupta’s contributions help define the boundaries of what is computationally feasible in robot motion planning. His work is particularly valuable for researchers designing autonomous systems that must navigate tight spaces or operate in formation, where even simple-looking movements can lead to complex collision problems.