A hybrid spiking neural network reinforcement learning agent for energy-efficient object manipulation
Due to the wide spread of robotics technologies in everyday activities, from industrial
automation to domestic assisted living applications, cutting-edge techniques such as deep …
automation to domestic assisted living applications, cutting-edge techniques such as deep …
A hybrid reinforcement learning approach with a spiking actor network for efficient robotic arm target reaching
KM Oikonomou, I Kansizoglou… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
The increasing demand for applications in competitive fields, such as assisted living and
aerial robots, drives contemporary research into the development, implementation and …
aerial robots, drives contemporary research into the development, implementation and …
Active vision: A promising technology for achieving zero-defect manufacturing
Quality constitutes the cutting-edge of contemporary industry, much more sharpened with
the emergence of Industry 4.0. Yet, the assurance of delivering high-quality products …
the emergence of Industry 4.0. Yet, the assurance of delivering high-quality products …
Evaluating the Performance of Mobile-Convolutional Neural Networks for Spatial and Temporal Human Action Recognition Analysis
Human action recognition is a computer vision task that identifies how a person or a group
acts on a video sequence. Various methods that rely on deep-learning techniques, such as …
acts on a video sequence. Various methods that rely on deep-learning techniques, such as …