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About

Stanislav Funiak is a robotics and artificial intelligence researcher whose work spans probabilistic inference, modular robotics, and distributed systems. He is perhaps best known for his significant contributions to the Claytronics Project at Carnegie Mellon University, an ambitious initiative aimed at developing programmable matter composed of potentially millions of cooperating submillimeter-sized spherical robots — a concept the team termed "pario," envisioning a new medium beyond audio and video for human communication and interaction. Funiak's most impactful research addresses the challenge of distributed localization in modular robot ensembles, developing a robust hierarchical approach using normalized cut algorithms to estimate the relative pose of individual modules — foundational work that has accumulated over 50 citations across multiple publications. His parallel contributions to probabilistic inference in dynamical systems introduced distributed approximate algorithms suited for sensor networks and mobile robot teams, demonstrating his versatility across both hardware-oriented and theoretical domains. Earlier in his career, Funiak pioneered hybrid estimation techniques combining stochastic and greedy search methods for monitoring and diagnosing robotic systems under uncertainty, work that laid important groundwork for robust state estimation. Across his body of research, Funiak has consistently advanced the mathematical and algorithmic foundations that make large-scale, autonomous robotic systems practically realizable.