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About

Sanjeev J. Koppal is a researcher whose work sits at the dynamic intersection of computational photography, robotic perception, and miniaturized sensing systems. His research focuses primarily on LiDAR technology, MEMS-based optical scanning, and adaptive depth sensing, with a particular emphasis on making these systems smaller, smarter, and more energy-efficient for next-generation robotics and autonomous platforms. Koppal's most impactful contributions include pioneering miniature LiDAR systems tailored for micro-robotics — devices approaching the scale of birds and insects — earning 45 citations for a landmark 2021 study. His work on MEMS mirror-based scanners has advanced both forward-view and omnidirectional LiDAR designs, enabling compact, low-cost solutions for autonomous vehicles and drones. A notable thread running through his research is adaptivity: his work on foveated depth sensors and energy-efficient adaptive 3D sensing draws inspiration from human visual perception, allowing robots to dynamically prioritize resolution where it matters most. His 2016 survey on computational photography for miniature devices helped frame an emerging research agenda that anticipated the proliferation of small intelligent cameras. With contributions spanning hardware design, computer vision, and human-robot interaction, Koppal's body of work is shaping how future robots will see and navigate their world.