Forum Numerica - Chiara Bartolozzi: Neuromorphic engineering and robots

Since the first prototypes of neuromorphic vision sensors and computing devices, part of the community focused its efforts in deploying neuromorphic devices in practical applications, to exploit their intrinsic compression, low latency, high temporal resolution, high dynamic range.

The quest to find the best strategy to exploit neuromorphic engineering is still open, but a lot of progress has been made. In this talk, I’ll describe possible approaches towards the development of neuromorphic perception for robots and discuss the relevance of the development of neuromorphic sensing for touch and other modalities.

Chiara Bartolozzi is 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.
Chiara has participated to a number of EU funded projects, she is currently coordinating the European Training Network "NeuTouch", where 15 PhD students are studying how touch perception works in humans and animals, in order to develop artificial touch perception systems for robots and hand prosthesis. As leader of the educational activities of the coordination and support action NEUROTECH, she co-organised the Neuromorphic Colloquium, a series of online events to build up educational material for the next generation of neuromorphic researchers.
She is an IEEE member, actively supporting the CAS and RAS societies, chair of WiCAS committee, member of the TC "Sensory Systems" and "Neuromorphic systems and applications" (former chair). In 2020, she has co-chaired "AICAS2020", on Circuits and systems for efficient embedded AI.

Webpage: https://edpr.iit.it

IG: eventdriven.robotics