Max Robotics — Global Service Robot Directory + US Certification

About

Dominik Haumann is a robotics researcher whose work centers on multi-robot coordination, autonomous exploration, and sensor calibration. He is best known for developing **DisCoverage**, a distributed algorithmic framework enabling teams of robots to collaboratively explore unknown environments through intelligent partitioning and locally optimized objective functions. His foundational work extended this approach from convex regions to complex non-convex environments with arbitrary obstacles, significantly broadening its real-world applicability and earning him a combined 26 citations across these two contributions alone. Haumann has also made notable contributions to large-scale environmental monitoring, proposing cooperative boundary-tracking strategies that allow small robot teams to efficiently sample vast domains under strict time constraints. His 2014 work on hand-eye calibration with depth cameras addressed a practical challenge in 3D reconstruction and robotic inspection, providing clarity on whether 2D or 3D calibration methods yield superior results — a question with direct implications for industrial robotics applications. Rounding out his portfolio, his early performance analysis of multi-robot exploration strategies demonstrates a consistent commitment to rigorous evaluation alongside algorithm design. Haumann's research collectively advances the frontier of scalable, autonomous robotic systems operating in realistic, unstructured environments.