40 years of cognitive architectures: core cognitive abilities and practical applications

I Kotseruba, JK Tsotsos - Artificial Intelligence Review, 2020 - Springer
In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …

Towards a cognitive robot that uses internal rehearsal to learn affordance relations

E Erdemir, CB Frankel, K Kawamura… - 2008 IEEE/RSJ …, 2008 - ieeexplore.ieee.org
This paper introduces a new approach to develop robots that can learn general affordance
relations from their experiences. Our approach is a part of larger efforts to develop a …

[PDF][PDF] 基于灰色预测模型和粒子滤波的视觉目标跟踪算法

朱明清, 王智灵, 陈宗海 - 控制与决策, 2012 - researchgate.net
结合灰色预测模型和粒子滤波, 提出一种新的视觉目标跟踪算法. 由于粒子滤波未考虑先验信息
对建议分布产生的指导作用, 不能很好地逼近后验概率分布, 对此, 采用历史状态估计序列作为先 …

Dynamic obstacle avoidance of mobile robot tele-operation based on non-contact impedance control

Z Li, Z Wu, Y Fu - Proceeding of the 11th World Congress on …, 2014 - ieeexplore.ieee.org
An obstacle avoidance method using a non-contact impedance algorithm is proposed for a
mobile robot in unknown terrain. By establishing non-contact impedance model, distance …

A robot rehearses internally and learns an affordance relation

E Erdemir, CB Frankel, S Thornton… - 2008 7th IEEE …, 2008 - ieeexplore.ieee.org
This paper introduces a novel approach to a crucial problem in robotics: Constructing robots
that can learn general affordance relations from their experiences. Our approach has two …

Intelligent Forecasting System Using Grey Model Combined with Neural Network.

SH Yang, YP Chen - International journal of Fuzzy systems, 2011 - search.ebscohost.com
This paper proposes an intelligent forecasting system based on a feedforward-neural-
network-aided grey model (FNAGM), which integrates a first-order single variable grey …

Brain-like robotics

RJ Duro, F Bellas, JA Becerra Permuy - Springer handbook of bio …, 2014 - Springer
This chapter aims to provide an overview of what is happening in the field of brain like
robotics, what the main issues are and how they are being addressed by different authors. It …

Design and Control of a Muscle-skeleton Robot Elbow based on Reinforcement Learning

J Fan, H Xu, Y Du, J Jin, Q Wang - 2022 Asia-Pacific Signal …, 2022 - ieeexplore.ieee.org
The muscle-skeleton body structure and learning ability allow natural creatures to adapt to
the complex environment. These can also make robots more adaptive in human-robot …

Intelligent forecasting system based on grey model and neural network

SH Yang, YP Chen - 2009 IEEE/ASME International …, 2009 - ieeexplore.ieee.org
This paper presents the design issues of two intelligent forecasting systems, feedforward-
neural-network-aided grey model (FNAGM) and Elman-network-aided grey model …

具演化式結構學習能力之類神經網路及其預測之應用

楊世宏, 陳永平 - 2011 - ir.lib.nycu.edu.tw
本論文提出一以前饋式類神經網路輔助之灰色模型及其相關的線上參數學習與結構學習演算法,
此模型採用一階單變數灰色模型來預測訊號, 再使用前饋式類神經網路補償灰色模型的預測誤差 …