Jeff Kramer

University of South Florida, Robotics Research (United States)

Papers

Total Citations

163

H-Index

About

Jeff Kramer is a robotics and autonomous systems researcher whose work spans mobile robot localization, unmanned vehicle systems, and computer vision. He is perhaps best known for his pioneering development of the Sea Robot-Assisted Inspection (Sea-RAI) system, the first known man-portable marsupial robot team pairing an unmanned surface vehicle with an aerial drone — a landmark contribution to littoral environment inspection for military, environmental, and disaster-response missions that has garnered 67 citations. Kramer has made significant strides in solving one of robotics' most fundamental challenges: accurate localization under sensor uncertainty. His research on fuzzy-driven Kalman filtering and sensor fusion techniques specifically addresses the computational constraints of small robots, filling a critical gap left by mainstream approaches that favor resource-intensive algorithms. His involvement in the widely read *Hacking the Kinect* (56 citations) demonstrated his ability to translate cutting-edge depth-sensing technology into accessible applications, influencing developers and researchers alike following Microsoft Kinect's 2010 release. Across 3D object modeling, detection, and robust sensor integration, Kramer's body of work reflects a consistent focus on practical, deployable robotic systems operating in real-world conditions with limited resources.