Alexander Domahidi

Papers

Total Citations

279

H-Index

About

Alexander Domahidi is a leading figure in optimization-based control and autonomous aerial robotics, with a focus on real-time decision-making for complex, dynamic environments. His work bridges the gap between advanced control theory and practical, embedded systems. Domahidi is best known for developing computationally efficient methods that enable robots to plan and adapt their motions on the fly. His most cited paper (168 citations) introduces a real-time motion planning framework for aerial videography that automatically optimizes camera framing and robot trajectories while dynamically avoiding obstacles—a breakthrough for autonomous cinematography. He has also made foundational contributions to embedded optimization for industrial automatic control (62 citations), demonstrating how optimization algorithms can be deployed on resource-constrained hardware for applications in petrochemical and process industries. Additionally, his work on environment-independent formation flight for micro aerial vehicles (49 citations) addresses the challenge of stabilizing multi-agent systems without relying on external positioning infrastructure. Domahidi’s research is notable for its direct industrial relevance and its emphasis on algorithms that are both theoretically rigorous and practically deployable, making him a key innovator in the field of autonomous systems.