Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
Hyukjun Kwon,Kangwon Kim,Junyoung Lee,Hyunsei Lee,Jiseung Kim,Jinhyung Kim,Taehyung Kim,Yongnyeon Kim,Yang Ni,Mohsen Imani,Ilhong Suh,Yeseong Kim,Hyukjun Kwon,Kangwon Kim,Junyoung Lee,Hyunsei Lee,Jiseung Kim,Jinhyung Kim,Taehyung Kim,Yongnyeon Kim,Yang Ni,Mohsen Imani,Ilhong Suh,Yeseong Kim
Efficiency and performance are significant challenges in applying Machine Learning (ML) to robotics, especially in energy-constrained real-world scenarios. In this context, Hyperdimensional Computing offers an energy-efficient alternative but has been underexplored in robotics. We introduce ReactHD, an HDC-based framework tailored for perception-action-based learning for sensorimotor controls of r...
