Vikranth Dwaracherla

Stanford University, Indian Institute of Technology Bombay

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About

Vikranth Dwaracherla’s research lies at the intersection of robotics, nonlinear control, and autonomous navigation, with a focus on enabling reliable motion in uncertain and dynamic environments. His work addresses fundamental challenges in mobile robotics—from spherical robots grappling with slip and surface irregularities to wheeled platforms navigating toward a home position using only visual cues. In his most cited paper (21 citations), Dwaracherla tackles the notoriously difficult problem of point-to-point navigation for spherical robots, designing a controller grounded in experimental observations that compensates for nonlinear dynamics and model errors. This practical, observation-driven approach is a hallmark of his contributions. He further advanced the field of visual homing, developing a probabilistic method that allows a robot to return to a reference location while avoiding dynamic obstacles—a critical capability for real-world deployment. His work on discrete-time steering control demonstrates that robust homing is achievable even with erroneous position feedback, highlighting his commitment to fault-tolerant systems. Through these contributions, Dwaracherla has provided foundational insights into motion planning and control for nonholonomic and underactuated robots, with implications for search-and-rescue, inspection, and autonomous exploration.