Chiara Ercolani
Papers
7
Total Citations
105
H-Index
5
About
Chiara Ercolani is a robotics researcher whose work sits at the compelling intersection of autonomous systems, environmental sensing, and multi-robot coordination. Her research focuses primarily on gas source localization, 3D gas distribution mapping, and the deployment of aerial and mobile robots in hazardous environments — areas with direct real-world relevance to industrial safety, climate monitoring, and emergency response. Among her most significant contributions is pioneering work on using Micro Aerial Vehicles for 3D odor source localization, a study that has garnered 29 citations and demonstrated the practical viability of drone-based chemical detection. She has also made notable advances in tensegrity robotics, proposing a steerable locomotion controller for six-strut icosahedral robots — lightweight, deployable systems suited for remote exploration — earning 25 citations. Her research on clustering and informative path planning for gas distribution mapping (22 citations) has further shaped how robots navigate complex chemical environments efficiently. More recently, Ercolani has extended her focus to multi-robot systems and data-driven plume modeling, addressing the challenges of coordination, interference, and environmental knowledge sharing. With a growing body of work consistently cited across the robotics community, she is emerging as a key voice in autonomous environmental monitoring research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Steerable Locomotion Controller for Six-strut Icosahedral Tensegrity Robots25 citations · 2018
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- 7Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots4 citations · 2023