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About

P Baskaran is a leading researcher in robotics and autonomous systems, with a primary focus on deformable object manipulation and deep learning for Cyber-Physical Systems (CPS). His most impactful work centers on the challenging problem of fabric manipulation, where he pioneered a deep transfer learning approach using depth sensing to compute "pick points" for robot bed-making. This work, detailed in his highly cited 2022 paper (81 citations) and its foundational 2018 counterpart (25 citations), addresses a fundamental challenge in textiles manufacturing and clothes folding by enabling robots to handle uncertain, deformable materials. Baskaran’s approach leverages depth images for color invariance, significantly advancing the state of the art in robotic manipulation of non-rigid objects. More recently, he has extended his expertise to unmanned robotics and autonomous systems (URAS), introducing deep iterative fuzzy pooling to enhance decision-making under uncertainty in CPS environments. With over 120 total citations across his key publications, Baskaran’s work bridges theoretical deep learning with practical robotic applications, offering scalable solutions for real-world automation. His research continues to inspire new directions in intelligent robotics, particularly in healthcare, manufacturing, and domestic assistance.