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Keywords: spiking neural network, brain-inspired robotics, neurorobotics, learning control, survey 1. INTRODUCTION 长期以来,生物的神秘生物智能一直吸引着我们探索其从感知,记忆,思考到产生语言和行为的能力。如今,由于人们越来越多地模仿这些结构和功能原理,科学家已经研究了大脑,机器人致动器和传感器如何协同工作,...
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In industrial engineering applications, RAPs are applied to various fields such as logistics, supply chain, and human management. However, depending on the case, RAPs are not inherently combinatorial unless the number of allocated resources is an integer variable. Yu et al. (2021) applied tabular...
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective IJCAI Paper A Survey on Neural-Symbolic with GNN. 2020 Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey Frontiers in Robotics and AI Paper In th...
as well as generalization. This survey describes the contemporary meta-learning landscape. We first discuss definitions of meta-learning and position it with respect to related fields, such as transfer learning and hyperparameter optimization. We then propose a new taxonomy that provides a more compre...
AI, machine learning, machine intelligence. Regardless of what people call it, this branch of computer science is focused on the ability of machines to perform tasks — including related to search, language understanding, visual recognition, and robotics — that normally require human intelligence. ...
Advancements in sensor technologies have brought about significant improvements in the resolution and quality of imagery by enhancing spatial, temporal, sp
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Neural Radiance Fields (NeRFs) have remodeled 3D scene representation since release. NeRFs can effectively reconstruct complex 3D scenes from 2D images, advancing different fields and applications such as scene understanding, 3D content generation, and robotics. Despite significant research progress, a ...