A brief history of my education and experience


I got a BSc in Engineering Informatics and an MSc in Robotics and Automation from the University of Pisa. After that, I got a PhD in Perceptual Robotics from Scuola Superiore Sant’Anna. The main focus of my PhD was human motion reconstruction from cheap sensors applied to robotic teleoperation and robotic embodiment.

In 2015 and later in 2017, I spent some time in LA at USC with Prof. Valero Cuevas applying my nondynamical system knowledge and to study Parkinson’s Disease.

During 2016 I spent a year as a PostDoc at Scuola Superiore Sant’Anna, my main focus was traditional Machine Learning and Deep Learning applied to biomedical signals.


While finishing my PhD I started to work as a Data Analyst at Neuromuscular Dynamics. The startup focuses on dexterity analysis for various medical conditions and sports performance. There I was managing the whole analysis software stack (backend, frontend, reporting and the analysis itself).

In 2017 I joined Blue Vision Labs, a London-based startup, developing the next-gen of augmented reality. There I mainly worked with Computer Vision and benchmarking large-scale AR systems. Also, my interest in distributed systems grew bigger, to the point that I switched my role from Research Engineer to Software Engineer.

After approximately 1 year, Blue Vision Labs got acquired by Lyft and became part of L5, Lyft’s self-driving division. Since then, I have been working there as a Software Engineer, and I must admit I’m loving the switch back to Robotics and more “research-y” topics.

Random Things I do

This is a list of some other random things and projects:


Journal Papers

Ruffaldi, E., L. Peppoloni, and A. Filippeschi. “Sensor fusion for complex articulated body tracking applied in rowing." Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology(2015). doi:10.1177/1754337115583199

Peppoloni, L, Filippeschi, A, Ruffaldi, E, Avizzano, C. A, “(WMSDs issue) A novel wearable system for the online assessment of risk for biomechanical load in repetitive efforts”, published in the International Journal of Industrial Ergonomics. doi:10.1016/j.ergon.2015.07.002

Peppoloni, L, Lawrence, E, Valero-Cuevas, F, ”Application of attractor reconstruction as a tool to understand finger -force variability during low force dexterous manipulation”, published in PLOS One. http://dx.doi.org/10.1371/journal.pone.0172025

Brizzi, F, Peppoloni, L, Graziano, A, Di Stefano, E, Avizzano, C, A, Ruffaldi, E, “Effects of augmented reality on the performance of teleoperated industrial assembly tasks in a robotic embodiment”, published in IEEE Transaction on Human-Machine Systems. https://doi.org/10.1109/THMS.2017.2782490

Lawrence, E, Peppoloni, L, Valero-Cuevas, F, “Sex differences in leg dexterity are not present in elite athletes”. published in Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2017.09.013

Conference Papers

Filippeschi, A, Ruffaldi, E, Peppoloni, L, Avizzano, C, A, “Online Calibration Procedure for Motion Tracking with Wearable Sensors Using Kalman Filtering”, 2018, International Symposium on Advances in Robot Kinematics, https://doi.org/10.5281/zenodo.1206985

Filippeschi A, Peppoloni, L, Kostavelis, I, et Al., “Towards Skills Evaluation of Elderly for Human-Robot Interaction”, 2018 RO-MAN: The 23rd IEEE International Symposium on. IEEE, https://doi.org/10.1109/ROMAN.2018.8525843.

Peppoloni, L, Ruffaldi, E, Brizzi, F, Avizzano, C. A. “Augmented reality-aided tele-presence system for robot manipulation in industrial manufacturing”, presented at The 21st ACM Symposium on Virtual Reality Software and Technology (VRST), Beijing 2015.

Peppoloni, L., Brizzi, F., Avizzano, C. A., Ruffaldi, E. (2015, March). “Immersive ros-integrated framework for robot teleoperation”. In 3D User Interfaces (3DUI), 2015 IEEE Symposium on (pp. 177-178). IEEE.

Ruffaldi, E., Peppoloni, L., Filippeschi, A., “A novel approach to motion tracking with wearable sensors based on Probabilistic Graphical Models." Robotics and Automation (ICRA), 2014 IEEE International Conference on. IEEE, 2014. doi: 10.1109/ICRA.2014.6907013

Peppoloni, L et al., “Stacked Generalization for scene analysis and object recognition” paper presented at the 18th International Conference on Intelligent Engineering Systems, Tihany 2014.

Peppoloni, L., Filippeschi, A., Ruffaldi, E, “Assessment of task ergonomics with an upper limb wearable device." Control and Automation (MED), 2014 22nd Mediterranean Conference of. IEEE, 2014. doi: 10.1109/MED.2014.6961394

Peppoloni, L, Di Fava, A., Ruffaldi, E., Avizzano, C., A., et al. “A ROS-integrated architecture to learn manipulation tasks from a single demonstration." Robot and Human Interactive Communication, 2014 RO-MAN: The 23rd IEEE International Symposium on. IEEE, 2014. doi:10.1109/ROMAN.2014.6926308

Peppoloni, L., Filippeschi, A., Ruffaldi, E., “A novel 7 degrees of freedom model for upper limb kinematic reconstruction based on wearable sensors." Intelligent Systems and Informatics (SISY), 2013 IEEE 11th International Symposium on. IEEE, 2013. doi: 10.1109/SISY.2013.6662551

Peppoloni, L., Di Fava, A., Ruffaldi, E., Avizzano, C., A., “Programming of a mobile robotic manipulator through demonstration”, paper presented at the 9th International Conference on Informatics in Control, Automation and Robotics, Rome, 2012.