Misha Gupta

Guilin University of Technology, Imperial College London

Papers

Total Citations

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About

Misha Gupta’s research centers on autonomous navigation and computer vision, with a specific focus on enabling robots and vehicles to operate reliably in GPS-denied environments. His work addresses fundamental challenges in localization and homing for small mobile robots and aerial vehicles constrained by limited payload capacity. Gupta’s most cited paper, “Pose estimation for an autonomous vehicle using monocular vision” (2017, 18 citations), introduces a vision-based approach to accurate localization using a single camera—a critical capability for indoor navigation where satellite signals are unavailable. This work has practical implications for applications ranging from warehouse automation to search-and-rescue missions. In his complementary study, “Bearing only visual homing: Observer based approach” (2017, 7 citations), Gupta tackles the problem of returning a robot to a known position by matching visual information, offering a lightweight solution for tasks like pick-and-place and docking. Together, these contributions demonstrate Gupta’s commitment to developing efficient, sensor-minimal navigation systems that expand the operational scope of autonomous vehicles in challenging, infrastructure-free settings.