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About

Arkadeep Narayan Chaudhury is a roboticist whose research sits at the intersection of perception, manipulation, and motion planning. His most influential work, "Using Collocated Vision and Tactile Sensors for Visual Servoing and Localization" (27 citations), introduces a novel sensor design that places cameras directly alongside tactile sensors. This collocation provides rich pre-contact information—such as high-resolution object pose estimates—while reducing occlusion, enabling robots to visually servo toward targets with greater precision than traditional head-mounted or external depth cameras. Chaudhury has also made foundational contributions to workspace analysis for dexterous manipulation, proposing a six-degree-of-freedom model of multifingered hands and using Monte Carlo methods to characterize their reachable workspaces (13 combined citations). His work on hyper-redundant robots addresses the challenge of motion planning through cluttered, duct-like environments, and his recent exploration of shape-from-shading techniques (2024) demonstrates how controlled illumination can efficiently extract surface normals and depth discontinuities for tabletop manipulation tasks. Chaudhury’s research consistently bridges sensing and action, advancing how robots perceive and interact with their surroundings.