Papers
11
Total Citations
156
H-Index
6
About
Marvin B. Becker is a robotics researcher whose work spans human-robot interaction safety, reactive motion planning, and robotics education. His most influential contribution, "Safety Map: A Unified Representation for Biomechanics Impact Data and Robot Instantaneous Dynamic Properties" (2018, 65 citations), established a foundational framework for quantifying and minimizing human injury risk during close physical human-robot interaction, embedding safety as a core design requirement from the earliest stages of robot development. Becker is perhaps best known for developing the Circular Fields framework, a series of increasingly sophisticated reactive trajectory planning methods that enable robots to navigate cluttered, dynamic environments efficiently and safely. This body of work — spanning global obstacle avoidance, multi-agent planning, and dual-arm manipulation — has accumulated over 60 citations across multiple publications and continues to evolve toward real-world applications including robot soccer and autonomous systems. Beyond technical research, Becker has demonstrated a commitment to broadening access to robotics expertise, co-developing the *Roboterfabrik* initiative, a pioneering German network linking schools, universities, and industry to unify robotics education. He has also explored inclusive human-robot teleoperation for people with motor disabilities, reflecting a consistently human-centered research philosophy that bridges engineering innovation with societal impact.
Research Focus
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Top Papers
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- 8Roboterfabrik6 citations · 2018
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