Papers
3
Total Citations
44
H-Index
3
About
Sean Vaskov is a robotics researcher whose work sits at the critical intersection of safety and real-time performance in autonomous systems. His research primarily focuses on trajectory planning for mobile robots operating in dynamic, unpredictable environments — one of the most pressing challenges in modern autonomous systems development. Vaskov's most significant contribution centers on bridging the long-standing gap between computational safety guarantees and the real-time demands of receding-horizon trajectory planning. His 2020 paper on this topic has garnered 24 citations, reflecting meaningful influence within the robotics community. This work addresses how autonomous robots can plan safe, dynamically feasible paths even when operating under tight sensor and computational constraints. Complementing this, his 2019 research on "provably not-at-fault" control represents a particularly innovative philosophical shift — acknowledging that while perfect safety is impossible when malicious actors are present, robots can still be designed to operate in demonstrably responsible ways. This work, with 11 citations, contributes an important ethical and technical framework to autonomous systems design. Together, Vaskov's publications establish him as a thoughtful contributor to safe autonomy research, offering both rigorous theoretical foundations and practical solutions for real-world robotic deployment.
Research Focus
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Top Papers
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