Neuromorphic Intelligence and Learning in Robotics

Explore neuromorphic intelligence and learning in robotics through this 29-minute tinyML Neuromorphic Engineering Forum talk by Yulia Sandamirskaya, Applications Research Lead at Intel Labs. Discover how neuromorphic hardware can address the challenges of mobile robotics, including power efficiency, real-time processing, and adaptability in dynamic environments. Learn about recent advancements in on-chip learning and processing algorithms for perception, planning, and control, implemented using the open-source Lava software framework for Intel's Loihi 2 neuromorphic research chip. Gain insights into the biological inspiration behind neuromorphic computing and its potential to revolutionize AI in robotics. The talk covers an introduction to neuromorphic computing, its biological foundations, practical applications in robotics, and concludes with a Q&A session.

Introduction
Why Neuromorphic
Biology
Learning from Biology
Intel
Questions