Chiara Bartolozzi is Senior Tenured Researcher at the Italian Institute of Technology. She earned a degree in Engineering at University of Genova (Italy) and a Ph.D. in Neuroinformatics at ETH Zurich, developing analog subthreshold circuits for emulating biophysical neuronal properties onto silicon and modelling selective attention on hierarchical multi-chip systems.
She is currently leading the Event-Driven Perception for Robotics group, with the aim of applying the "neuromorphic" engineering approach to the design of robotic platforms as enabling technology towards the design of autonomous machines.
This goal is pursued by inducing a paradigm shift in robotics, based on the emerging concept of Event-Driven (ED) sensing and processing. Similarly to their biological counterpart, and differently from traditional robotic sensors, ED sensory systems sample their input signal at fixed (and relative) amplitude changes, intrinsically adapting to the dynamics of the sensory signal: temporal resolution is extremely high for fast transitory signals and decreases for slower inputs.
This approach naturally leads to better robots that acquire, transmit and process information only when needed, optimising the use of resources, leading to real-time, low-cost, operation.
Chiara has participated to a number of EU funded projects, she coordinated the European Training Network NeuTouch, where 15 PhD students studied how touch perception works in humans and animals, in order to develop artificial touch perception systems for robots and hand prosthesis. She is dedicated to the training of new generation of neuromorphic researchers, through the NEUROTECH Neuromorphic Colloquium, co-leading the Training, Education and Resource Pooling work group of the EuroNMC COST Action, and organising the Event-Driven Vision School.
She is in the in the scientific board of the Capocaccia Workshop on Neuromorphic Intelligence and is co-chair of the 2027 Telluride Neuromorphic AI Workshop. She is Senior Editor for NPJ Robotics, IOP Neuromorphic Computing and Engineering, IEEE JETCAS and editor in Frontiers in Neuroscience and IEEE TCASI.
She is an IEEE CAS and RAS member, former chair of the WiCAS committee, and NSA Technical Committee. She was general chair of AICAS2020, on Circuits and systems for efficient embedded AI.