Chiara Ercolani

Contact

EPFL ENAC IIE DISAL

GR A2 455 (Building GR)
Station 2
CH-1015 Lausanne
Switzerland
Phone: +41 21 693 91 40
[email protected]


Short Biography

I am currently a Ph.D. student at DISAL working on 3D odor source mapping. I received my M.Sc. in Electrical Engineering with a specialization in Digital Electronics and Computer Engineering in 2018 from EPFL. I carried out my Master Thesis at the Intelligent Robotics Group at NASA Ames Research Center, where I worked on applying machine learning techniques on SUPERball, a next generation NASA rover. I received my B.Sc. in Biomedical Engineering in 2015 from Politecnico di Milano. More information about me can be found in the following:

Research Interests and Projects

My research interests include robotics, embedded systems, networking, multi-robot systems and machine learning. The main focus of my research is to map a source of odor in a three-dimensional space using flying robots.  More information about my research can be found here.

Teaching and Service Activities

I have been involved in teaching since 2016 starting from the Embedded Systems course offered to Master students at EPFL. Currently I am serving as TA in the Signals, Instruments, and Systems (SIS), and Distributed Intelligent Systems (DIS) courses at DISAL. I am also involved in the review process of robotics journals and conferences since 2019.

Publications

2023

3D Gas Sensing with Multiple Nano Aerial Vehicles: Interference Analysis, Algorithms and Experimental Validation

C. Ercolani; W. Jin; A. Martinoli 

Sensors. 2023-10-17. Vol. 23, num. 20, p. 8512. DOI : 10.3390/s23208512.

Towards Efficient Gas Leak Detection in Built Environments: Data-Driven Plume Modeling for Gas Sensing Robots

W. Jin; F. Rahbar; C. Ercolani; A. Martinoli 

2023-06-03. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, May 29 – June 2, 2023. DOI : 10.1109/ICRA48891.2023.10160816.

Multi-Robot 3D Gas Distribution Mapping: Coordination, Information Sharing and Environmental Knowledge

C. Ercolani; S. M. Deshmuk; T. L. Peeters; A. Martinoli 

2023-06-03. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May- 2 June, 2023. DOI : 10.1109/ICRA48891.2023.10161276.

Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots

A. Gongora; J. Monroy; F. Rahbar; C. Ercolani; J. Gonzalez-Jimenez et al. 

Sensors. 2023-06-01. Vol. 23, num. 12, p. 5387. DOI : 10.3390/s23125387.

2022

GaSLAM: An Algorithm for Simultaneous Gas Source Localization and Gas Distribution Mapping in 3D

C. Ercolani; L. Tang; A. Martinoli 

2022.  2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, October 23-27, 2022. p. 333-340. DOI : 10.1109/IROS47612.2022.9981976.

Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation

C. Ercolani; L. Tang; A. A. Humne; A. Martinoli 

IEEE Robotics and Automation Letters. 2022. Vol. 7, num. 2, p. 5310 – 5317. DOI : 10.1109/LRA.2022.3154026.

2020

3D Odor Source Localization Using a Micro Aerial Vehicle: System Design and Performance Evaluation

C. Ercolani; A. Martinoli 

2020. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), Las Vegas, Nevada, US, October 25-29, 2020. p. 6194-6200. DOI : 10.1109/IROS45743.2020.9341501.

2018

Steerable Locomotion Controller for Six-strut Icosahedral Tensegrity Robots

M. Vespignani; C. Ercolani; J. M. Friesen; J. Bruce 

2018. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 1-5, 2018. p. 2886-2892. DOI : 10.1109/IROS.2018.8593676.