Gerolamo Carboni
MSc in Biomedical Engineering (Bioinformatics), Università Campus Bio-Medico di Roma
BSc in Industrial Engineering , Università Campus Bio-Medico di Roma

Research Assistant
Department of Bioengineering
Imperial College London
SW7 2AZ London, UK
Office: 4.28 RSM


About me

My name is Gerolamo Carboni and I am currently working as Research Assistant in the Department of Bioengineering of Imperial College London, as part of the Human-Robotics Group (HRG). I am passionate about science and strongly believe that, along with technological innovation, scientific progress can drastically improve human’s quality of life. I am particularly fascinated by advancements in human-machine interfacing and robotics, which open up possibilities to restore or augment human sensory and motor functions, and to implement humanlike capabilities in robots.

These interests have led me first to study Industrial Engineering (for the Bachelor Degree) and then Biomedical Engineering, where I obtained an MSc cum laude from Campus Bio-Medico University in Roma, a university with special strength in Biomedical Engineering. During these studies I specialised in Robotics, Machine Learning, Healthcare Technologies and Neuroscience.

A milestone in my studies has been the MSc project I could carry out at Imperial in Professor Etienne Burdet’s HRG, where I addressed significant questions on the adaptation of upper limb reaching movements while interacting with a non-linear force field. I enjoyed this activity very much and was therefore happy to accept the RA position that Prof Burdet offered me.

During this year working as RA in the HRG I implemented a game theory framework for reactive control to assist humans in physical training: a robot equipped with the proposed adaptive game-theory based control both provides optimal assistance to the human partner in training arm reaching movements and adapts its assistance by seamlessly identifying this partner’s level of effort. This work resulted in a paper on “Game theory framework for reactive and adaptive robotic assistance to reaching” which is submitted to the IEEE Transactions on Control Systems Technology. More importantly, I could this year participate to the EPSRC MOTION project, got increasingly interested in human motor control research, could develop a project according to my ideas and obtain promising initial data.

My current research

I want to investigate whether and how humans can modulate their mechanics (e.g. through muscle co-contraction) in order to improve their sensing, and how this influences human motor control. This important morphological computation aspect of neuromechanics has been little studied. It will bring important insight into human sensorimotor learning and control, and may yield critical inputs to robotics research. I want to elucidate the mechanisms by which humans use mechanical impedance and specific movements during haptic exploration in order to identify the environment’s physical features efficiently.

I will further develop computational models to study how humans modify their exploratory strategies as a function of the sensory information originating from the interaction with the object being manipulated. These computational algorithms can be implemented on robot manipulators in order to efficiently identify objects’ features, with potential cutting-edge applications in robot-assisted diagnostics and surgery. ResearchGate profile


  •  “CityNext Microsoft Country Partner of the Year Award 2014 – Italy” for SIM (Sviluppo Integrazione Multimediale) project.


Teaching experiences

  • Human Neuromechanical Control and Learning, Imperial, instructor: Prof. E. Burdet (Spring 2017 & 2018)
  • Introduction to Robotics, Imperial, instructor: Prof. E. Burdet & Prof. P. Kormushev (Autumn 2017 & 2018)Teaching experiences