Paramita Mandal

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About

Paramita Mandal is a robotics researcher whose work focuses on autonomous mobile robot navigation, path planning, and energy-efficient motion in unknown and hazardous environments. Her key contributions lie in developing algorithms that enable robots to operate safely and effectively in real-world scenarios, from static obstacle avoidance to dynamic search-and-rescue missions. Her most cited paper, "Path planning of autonomous mobile robot: A new approach" (2013, 15 citations), introduces a collision-free navigation algorithm for unknown environments, laying foundational work in the field. In "Autonomous robot coverage in rescue operation" (2013, 11 citations), she applies the Generalized Local Voronoi Diagram (GLVD) algorithm to model area coverage and cooperation, directly addressing the challenges of deploying robots in dangerous, human-inaccessible disaster zones. Mandal also tackles the critical constraint of limited onboard power in "Real-time heuristic search based minimum energy path planning of wheeled mobile robot" (2015, 6 citations), where she presents an optimal online path planning technique that minimizes energy consumption. Her research bridges theoretical algorithm design with practical applications in emergency response and autonomous systems, making her work valuable for students and engineers developing next-generation mobile robots.