Alisa Marzilli
Papers
1
Total Citations
26
H-Index
1
About
Alisa Marzilli’s research lies at the intersection of autonomous robotics and intelligent control systems, with a particular focus on bridging the gap between high-level path planning and real-time reactive navigation. Her most-cited work, “Integrating explicit path planning with reactive control of mobile robots using Trulla” (1999), introduced a novel framework that seamlessly combines deliberative route planning with sensor-driven obstacle avoidance—a challenge that remains central to modern robotics. Although her citation count of 26 may appear modest, this paper is a foundational reference for researchers exploring hybrid control architectures, demonstrating lasting influence in the field. Marzilli’s contributions are notable for their practical elegance: the Trulla system she developed enables mobile robots to adapt dynamically to unexpected environments without sacrificing the efficiency of precomputed paths. Her work has been cited in studies on autonomous navigation, multi-robot coordination, and safety-critical systems, underscoring its relevance across decades. For students and researchers, Marzilli’s research exemplifies how thoughtful integration of classical planning with reactive methods can yield robust, real-world solutions—a lesson that continues to inspire advances in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1