47 citations · 147 across the 15 of their papers we have counts for
4 papers · 1 filter
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots
Neelesh Kumar, Konstantinos P. Michmizos
Although cognitive engagement (CE) is crucial for motor learning, it remains underutilized in rehabilitation robots, partly because its assessment currently relies on subjective an…
Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots
Neelesh Kumar, Konstantinos P. Michmizos
Mounting evidence suggests that adaptation is a crucial mechanism for rehabilitation robots in promoting motor learning. Yet, it is commonly based on robot-derived movement kinemat…
A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head
Praveenram Balachandar, Konstantinos P. Michmizos
Robotic vision introduces requirements for real-time processing of fast-varying, noisy information in a continuously changing environment. In a real-world environment, convenient a…
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM
Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos
Energy-efficient simultaneous localization and mapping (SLAM) is crucial for mobile robots exploring unknown environments. The mammalian brain solves SLAM via a network of speciali…