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About

Shreyas S. Shivakumar is a robotics researcher whose work sits at the intersection of perception, autonomy, and multi-robot systems, with a particular focus on challenging, GPS-denied environments. His most impactful contribution is in semantic cross-view localization and mapping, where he developed methods that enable robots to register local sensor data—such as LiDAR scans—to global maps without relying on unreliable GPS signals. This work, published in *IEEE Robotics and Automation Letters* (2021) and garnering 45 citations, is foundational for inter-robot collaboration in complex settings. Shivakumar also advanced aerial robotics with an unsupervised deep homography estimation model (2018, 17 citations), providing a fast and robust method for relative pose estimation between multiple aerial images—critical for collaborative exploration and monitoring. His practical engineering contributions include the Open Vision Computer (2019), an integrated sensing and compute system designed for high-speed, vision-guided autonomous drone flight on small-scale platforms. Notably, Shivakumar has applied these capabilities to extreme environments, demonstrating multi-quadrupedal robot exploration in mine tunnels (2020), addressing the severe communication, endurance, and traversability constraints of subterranean operations. His work consistently bridges theoretical advances with real-world robotic deployment.