Neeraj K. Mandloi

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About

Neeraj K. Mandloi is a researcher at the forefront of neuromorphic engineering and robotic vision, specializing in the development of biologically inspired, low-power visual sensors for autonomous systems. His work bridges the gap between neuroscience and VLSI circuit design, creating compact vision sensors that mimic the mammalian visual system’s ability to process motion and salient features in real time. In his highly cited paper “Attentive motion sensor for mobile robotic applications” (2011, 7 citations), Mandloi introduced a novel sensor integrating adaptive photoreceptors, spatiotemporal feature extraction, and an attentional readout circuit that selects the most salient region in a scene—a critical capability for resource-constrained robots. His eMorph project (2011, 7 citations) further advanced neuromorphic robotic vision by embedding stimulus-driven acquisition and space-time processing directly into hardware, enabling humanoid robots to react to dynamic environments without heavy computational overhead. Mandloi’s contributions are particularly impactful for small autonomous robots, as demonstrated in “Smart motion sensing for autonomous robots” (2014, 4 citations), where his custom VLSI sensor delivers contrast, local motion, and target position data with exceptional speed and energy efficiency. His work continues to inspire next-generation, brain-inspired vision systems for mobile robotics.