Aritra Dasgupta

National Institute of Technology Durgapur

Papers

Total Citations

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About

Aritra Dasgupta is a researcher whose work centers on the intersection of soft robotics, smart materials, and actuator design, with a particular focus on ionic polymer-metal composites (IPMCs). His most-cited paper, "An iteratively optimized resolution to hyper redundancy for dissimilarly doped compliant IPMC actuators" (2017), addresses a critical challenge in soft robotics: achieving precise, repeatable motion from inherently flexible and redundant actuators. By proposing an iterative optimization framework, Dasgupta demonstrates how to resolve hyper-redundancy in IPMC actuators with dissimilar doping, enabling more controlled and efficient bending responses. This work contributes to the broader goal of creating compliant, lifelike robotic systems that can operate in constrained or delicate environments. While his citation count is currently modest, the foundational nature of his research—combining materials science, control theory, and mechanical design—positions him as a contributor to the growing field of bio-inspired actuation. His approach to optimizing actuator performance through iterative methods offers a practical pathway for advancing soft robotics, making his work relevant for researchers exploring adaptive, energy-efficient motion systems.