Dustan Kraus
Papers
2
Total Citations
55
H-Index
1
About
Dustan Kraus is a pioneering roboticist whose work bridges the critical gap between soft robotics and autonomous navigation. His primary research focuses on developing control systems for large-scale, pneumatically actuated soft robots—machines that are passively compliant and inherently safe for human interaction. In his seminal 2018 paper, "Configuration Estimation for Accurate Position Control of Large-Scale Soft Robots" (54 citations), Kraus defined the core challenges of controlling these inflatable, low-inertia systems, proposing foundational methods for accurate position estimation that have become essential for the field. Beyond soft robotics, Kraus is advancing aerial robot perception. His 2020 work introduces a novel, multi-modal silicon retina technique designed to detect reflective and transparent barriers—a critical capability for enabling drones to navigate complex indoor environments for disaster response and infrastructure inspection. By tackling both the control of compliant robots and the sensing limitations of autonomous flight, Kraus is shaping the future of robots that can safely and intelligently operate in unstructured, human-centered spaces.
Research Focus
Key Achievements
Top Papers
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