Aparajita Sengupta

Indian Institute of Engineering Science and Technology, Shibpur

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About

Aparajita Sengupta is a researcher at the forefront of continuum robotics, specializing in the modeling, control, and teleoperation of flexible, tendon-driven robotic systems. Her work addresses the critical challenge of enabling these highly nonlinear, hyper-redundant robots to perform precise tasks in complex environments, particularly for medical applications like endoscopic surgery. Sengupta’s major contributions include pioneering a hybrid modeling approach that combines analytical physics with deep neural networks to accurately capture continuum robot dynamics, and developing model-less control strategies—such as reinforcement learning and neural network-based PID—that circumvent the difficulties of traditional modeling. Her most cited work, "Kinematics and Teleoperation of Tendon Driven Continuum Robot" (2018, 17 citations), lays foundational methods for intuitive remote control of these compliant robots, highlighting their potential to glide through curvilinear pathways in minimally invasive procedures. With additional publications exploring advanced control and hybrid modeling (2018, 7 citations; 2022, 2 citations), Sengupta’s research is driving the next generation of safe, adaptable medical robots, bridging the gap between theoretical robotics and real-world surgical impact.