Amartya Ganguly

Heidelberg University, Technical University of Munich

Papers

Total Citations

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About

Amartya Ganguly is a leading researcher at the intersection of robotic manipulation, prosthetic control, and tactile sensing. His work addresses a critical gap in assistive technology: while prosthetic hands have achieved remarkable mechanical dexterity, their control systems have lagged behind. Ganguly’s most-cited paper, “Model-Based Control of Individual Finger Movements for Prosthetic Hand Function” (2020, 43 citations), pioneers precise, intuitive control strategies that unlock the full potential of modern prosthetic devices. He has also made foundational contributions to soft robotics with his “Soft Sensing Skins for Arbitrary Objects: An Automatic Framework” (2023, 8 citations), which automates the design of customizable tactile sensors—a key enabler for human-robot interaction and dexterous grasping. His recent work introduces the “Fingertip Manipulability Assessment” (2024, 6 citations), a novel metric for evaluating tendon-driven robotic hands, and extends force estimation techniques to underwater robots (2024, 3 citations). By bridging hardware capability with intelligent control, Ganguly’s research is shaping the next generation of adaptive, user-friendly robotic systems.