Mandakini Paruthi

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About

Mandakini Paruthi is a researcher at the forefront of robotic manipulation, with a focus on active perception and representation learning. Her work challenges the conventional use of passive cameras in robotics, drawing inspiration from biological vision systems to develop algorithms that enable robots to actively control their gaze—moving eyes, heads, or bodies—to better perceive and interact with their environment. Her most-cited paper, "Active Perception and Representation for Robotic Manipulation" (2020, 4 citations), lays the groundwork for integrating active perception into reinforcement learning frameworks, improving robots' ability to handle complex manipulation tasks. Paruthi’s contributions are pivotal in bridging the gap between passive sensing and dynamic, adaptive robotic behavior, with potential applications in manufacturing, healthcare, and autonomous systems. While her citation count is still growing, her innovative approach has already garnered attention in the robotics community, marking her as a promising voice in embodied AI. Her work underscores the importance of biologically inspired design in advancing robotic autonomy.