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Description | Neuromorphic hardware is expected to be a key enabler for robotic edge devices due to its low latencyhigh speed, power consumptionefficiency, and adaptability. Now that the first Loihi 2 chips are being shipped to partners, this workshop will enable you to start leveraging Loihi 2 for your own provide inspiration for new capabilities that Loihi 2 may enable in your embodied systems. A range of research talks from INRC members will provide a glimpse into show the latest progress on realizing the promises that Loihi 2 brings for high-performant robots. |
Schedule | 6:45 PT / 9:45 ET / 15:45 CET Session plan: Welcome & Motivation Philipp Stratmann (Deactivated) (Intel) How Neuromorphic Computing Can Assist Shipboard Robot Assistants Ed Lawson (US Naval Research Lab) Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control Ashish Rao Mangalore (Deactivated) (Intel) Neuromorphic Sensing and Control in Subterranean Environments Akshit Saradagi (Lulea UT) Closed-Form Control with Spike Coding Networks Pablo Lanillos (Donders Institute for BCB) Neuromorphic Visual Odometry with Resonator Networks Alpha Renner (ETH Zurich) |
Recording | Not Yet Available |
Link to Presentation | Not Yet Available |
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