Kleio Baxevani
Papers
6
Total Citations
23
H-Index
4
About
Kleio Baxevani is a pioneering researcher at the intersection of developmental robotics and multi-agent systems, whose work bridges infant-robot interaction with advanced swarm coordination. Her research focuses on three key areas: using robots to promote perceptual-motor development in infants, creating resilient autonomous navigation systems for GPS-denied environments, and developing multi-behavioral swarm robotics through motivation dynamics. Her most impactful work demonstrates the feasibility of using spherical robots like Sphero to engage infants in perceptual-motor exploration (6 citations), and reveals that infants will spontaneously provide instrumental help to robots pursuing action-based goals (5 citations)—findings that challenge assumptions about human-robot social cognition. She has also contributed to resilient ground vehicle navigation in cluttered environments (4 citations) and developed novel approaches to multi-modal swarm coordination via Hopf bifurcations (4 citations). Her recent work on pediatric motor training environments combining human-swarm interactions with dynamic body weight support technology (2 citations) represents a promising translational direction. Baxevani’s unique ability to integrate insights from infant development, control theory, and swarm robotics positions her as an emerging leader in creating socially-aware, developmentally-appropriate robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Multi-modal Swarm Coordination via Hopf Bifurcations4 citations · 2023
- 5A Pediatric Motor Training Environment Based on Human-Swarm Interactions2 citations · 2024
- 6Multi-behavioral Multi-Robot Systems driven by Motivation Dynamics2 citations · 2023