Spyros Maniatopoulos
Papers
5
Total Citations
124
H-Index
5
About
Spyros Maniatopoulos is a leading researcher in robotics and autonomous systems, with a focus on bridging the gap between formal synthesis and real-world robotic control. His work centers on high-level behavior synthesis, model predictive control (MPC), and collaborative autonomy for complex manipulation tasks. Maniatopoulos made a significant contribution to the DARPA Robotics Challenge (DRC) Finals, where his team’s software enabled two different humanoid robots—Atlas and Hector—to perform remote manipulation tasks with shared human-operator control, a milestone in collaborative autonomy. His most cited paper, “Reactive high-level behavior synthesis for an Atlas humanoid robot” (44 citations), demonstrates an end-to-end approach for automatically generating verifiable, reactive behaviors on a full-sized humanoid. He also advanced MPC for nonholonomic vehicles under field-of-view constraints (41 citations), combining convergence properties with constrained nonlinear control. Maniatopoulos’s work on open-world mission specification further pushes the boundaries of correct-by-construction controllers beyond closed-world assumptions. With over 120 total citations, his research continues to shape how robots can operate safely and effectively in unstructured, human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1Reactive high-level behavior synthesis for an Atlas humanoid robot44 citations · 2016
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- 5Open-world mission specification for reactive robots5 citations · 2014