Papers
9
Total Citations
205
H-Index
7
About
Mihai Andries is a pioneering researcher in cognitive robotics and ambient intelligence, whose work bridges the gap between autonomous systems and self-aware machines. His most influential contribution, "Toward Self-Aware Robots" (99 citations), challenges the field by arguing that current robots remain "zombies"—executing tasks without true understanding—and proposes pathways toward genuine machine consciousness. Andries has also made significant advances in non-intrusive sensing, developing load-sensing floors that localize humans, objects, and robots without the privacy concerns of cameras (42 citations), and creating probabilistic methods for robot tracking on these surfaces (10 citations). In crowd analysis, his novel algorithms for detecting group dynamics from low-level video features (15 citations) have practical applications in public safety and social robotics. Andries’s work on multi-robot exploration, including taboo-list and ant-algorithm approaches (12 and 10 citations), addresses fundamental challenges in autonomous navigation of unknown environments. His formal framework for affordance equivalences in robotics (11 citations) provides a mathematical foundation for robots to learn action effects through interaction. With a research portfolio spanning self-awareness, sensor data processing, and collective robotics, Andries continues to push the boundaries of what autonomous systems can achieve.
Research Focus
Key Achievements
Top Papers
- 1Toward Self-Aware Robots99 citations · 2018
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- 4Multi-robot taboo-list exploration of unknown structured environments12 citations · 2015
- 5Affordance Equivalences in Robotics: A Formalism11 citations · 2018
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- 8Discovering and Manipulating Affordances4 citations · 2017
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