Papers
6
Total Citations
55
H-Index
4
About
Dr. Danil Prokhorov is a leading researcher in safe autonomous navigation and control, with a focus on bridging the gap between theoretical safety guarantees and real-world robotic deployment. His primary contributions lie in the development of **Control Barrier Functions (CBFs)** for dynamic and uncertain environments, where he has pioneered methods to ensure safety even in the presence of human pedestrians and stochastic disturbances. His 2021 work on integrating CBFs with sampling-based planners like RRTs (26 citations) provides a foundational framework for safe motion planning in crowded spaces. Prokhorov further advanced the field with his 2023 introduction of **Risk-Aware Control Barrier Functions (RA-CBFs)** (15 citations), offering tight, provable safety bounds for stochastic systems—a significant departure from prior martingale-based approaches. He is also the creator of **CBFkit**, a widely accessible Python/ROS toolbox (2024) that democratizes the application of these complex safety algorithms for the robotics community. His work on actor-critic methods for partially known dynamics and specification-guided fault localization demonstrates a commitment to holistic system safety, from planning to verification. With a growing citation impact, Prokhorov is shaping the next generation of safe, human-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 5CBFkit: A Control Barrier Function Toolbox for Robotics Applications3 citations · 2024
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