Suhas Kadalagere Sampath

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About

Suhas Kadalagere Sampath is a rising star in the field of robotic manipulation, with a focused research agenda centered on dexterous hands and intelligent grasp planning. His work addresses one of the most persistent challenges in robotics: enabling machines to handle irregular, soft, and deformable objects with human-like precision. In his highly cited 2023 review, "Review on human‐like robot manipulation using dexterous hands" (48 citations), Sampath provided a comprehensive synthesis of the field, establishing a foundational resource for researchers. He has since advanced the state of the art by integrating Gaussian process implicit surfaces with multifingered grasp planning, offering a novel solution to the high-dimensional search space problem. Most recently, his 2025 work on a vision-guided deep learning framework combines Gaussian processes with transformer architectures, pushing the boundaries of how robots perceive and adapt to diverse object geometries. With a rapidly growing citation record and a trajectory that bridges theoretical modeling with practical, learning-based control, Sampath is emerging as a key contributor to the next generation of autonomous, human-like robotic hands.