Papers
2
Total Citations
12
H-Index
2
About
Mihai Polceanu is a researcher at the forefront of autonomous robotics and human-robot interaction, with a focus on real-time decision-making and multimodal interfaces. His work bridges the gap between heuristic-based control and adaptive learning, particularly in dynamic environments like robotic soccer. In his highly cited 2015 paper, "Regression and Mental Models for Decision Making on Robotic Biped Goalkeepers," Polceanu introduced innovative approaches for RoboCup 3D Soccer Simulation League goalkeepers, combining linear regression and Kalman filters to enhance perception and decision-making—a contribution that has garnered 7 citations and influenced subsequent work in simulated robotics. He further advanced the field with his 2019 paper, "eEVA as a Real-Time Multimodal Agent Human-Robot Interface," which explores intuitive, real-time interaction between humans and robots through multimodal cues, earning 5 citations. Polceanu’s research is notable for its practical applications in competitive robotics and human-robot collaboration, demonstrating how mental models and regression techniques can improve autonomous behavior. His work continues to inspire students and researchers in robotics, artificial intelligence, and human-robot interaction, offering foundational insights into building more responsive and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2eEVA as a Real-Time Multimodal Agent Human-Robot Interface5 citations · 2019