Olivier Coenen has been an early pioneer of brain-inspired processing and modeling with applications to robotics and autonomous systems.Olivier has led the implementation of event-based methods and algorithms for event-based vision sensors, including fast recognition short-latency object and action recognition using deep event-based networks and spiking networks, event-based: object tracking, stereo vision, optic flow, IMU-driven image stabilization, online frequency estimation, image registration, noise removal, resolution upscaler, image reconstruction from vision data. These have been applied on flying drones, land vehicles, in the retail domain, surveillance & security and others. Olivier adapted deep networks, such as Transformers, to image processing and context-dependent recognition to retail applications, with implementations in Tensorflow, PyTorch, network compilers and optimizers for accelerator hardware. At Brain Corp, Olivier developed neural network "models of the motor control system" and designed "artificial nervous systems for UAVs" (small commercial drones). His work directly contributed to closing Series B with Qualcomm Ventures & generated tens of patents.Olivier established the Neuroscience Group at the Sony Computer Science Laboratory, Paris, which developed technologies in signal processing, machine learning and robotic control inspired from brain processing.He created and led 6 funding grants, with 2 major projects totaling over 12 million dollars in funding and received 16 academic awards and fellowships.Olivier has the ability to bring together knowledge from many different sources, identify novel directions, anticipate problems well in advance, establish connections btw apparently disparate areas is one his strengths, which brings in novel perspectives.In 2004, for example, Olivier created the project SENSOPAC to evolve the state-of-the-art in robotic touch and manipulation, from tactile processing to sensor designs. Clearly, humans and other primates attained tactile information very differently than engineers' approaches. By bringing together roboticists and touch physiologists, the resulting awakening led to the development of one of the most advanced tactile sensors for robot manipulation existing today, the BioTac of SynTouch, LLC. Olivier was an early adopter at UCSD of artificial neural networks, or parallel distributed processing (PDP) before they became known as deep learning with pioneers such as Terry Sejnowski, Geoff Hinton, D. Rumelhart, R. Hecht-Nielsen, M. Jordan, G. Cottrell, and many others.