Jeff Brateman

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About

Jeff Brateman is a researcher whose work lies at the intersection of energy-efficient computing and autonomous mobile robotics. His primary contributions focus on developing scheduling and dynamic voltage/frequency scaling techniques to minimize power consumption in battery-limited robotic systems. In his most cited work, "Energy-Efficient Scheduling for Autonomous Mobile Robots" (2006, 20 citations), Brateman addresses the critical challenge of balancing real-time obstacle detection—using stereovision for collision prevention—with energy conservation. He demonstrates that by intelligently adjusting processing speeds and task schedules, robots can maintain safety constraints while significantly extending operational life. His follow-up study, "Frequency and Speed Setting for Energy Conservation in Autonomous Mobile Robots" (2007, 4 citations), further refines these methods, exploring how dynamic frequency scaling can be applied to embedded processors in mobile platforms. Though his citation counts are modest, Brateman’s research is foundational for engineers designing long-duration autonomous systems, particularly in field robotics where energy efficiency is paramount. His work remains a practical reference for integrating real-time performance with power-aware computing.