...-effector memory for the last mission adjusting and waiting for a gesture control signal to autonomously pick/place an object. Object classification process is done using a one-shot Siamese neural network (NN) to train a proposed deep NN; other well-known models are also used in a comparison. The system...

..., it suffered from the so-called “AI winter”, a period of reduced funding which arose largely from overinflated promises by the research community and unrealistic expectations by industry. The 1980s saw a resurgence in ML research, stimulated in part by the realisation that neural networks (NNs) could be used...

... Neural networks Kloor: It would be the one I'm currently working on – Beomni www.beomni.ai . That’s because it's been a lifelong dream of mine since about the age of seven, to create a class of general purpose humanoid robots that are first piloted by humans, but then evolve to become autonomous...

.... Design/methodology/approach An augmented neural network (NN) constituted of radial basis function neural networks (RBFNNs) and additional sigmoid-jump activation function (SJF) neurons is introduced to approximate complicated dynamics of the system: the RBFNNs estimate the continuous dynamic term...

.... A fast visual identification and location algorithm based on deep convolutional neural network was developed for industrial sorting robots (Wu et al., 2016). The algorithm achieves real-time speed despite the poor location accuracy. Li and Chang (2019) proposed a visual approach for precision...

... Redundant arms Workspace Dexterity and singularity analysis Machine learning Collision avoidance Humanoid robots Robot design Cooperative robots Neural networks Robotic manipulators are used widely in various fields for intensive and high accuracy operations. Robots used in industrial...

... of retroreflectors to accomplish automatic measurement. To solve this problem, this paper aims to propose a novel method. Design/methodology/approach We propose a method using Mask RCNN (Region Convolutional Neural Network), with ResNet101 (Residual Network 101) and FPN (Feature Pyramid Network) as the backbone...

...., 2016) mixtures-of-experts (Gormley and Murphy, 2008) model has been used to learn the non-linearity in the data. A contact model is used for force analysis and the decision is based on a particular gating mechanism defined by the researcher. Reinhart and Steil (2009) use recurrent neural networks...

...@nitc.ac.in 18 11 2019 09 03 2020 17 04 2020 14 05 2020 15 05 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Robot design Neural networks Parallel manipulators Denavit–Hartenberg modelling Machine learning ArUco...

... at: joannepransky@gmail.com 20 02 2020 21 02 2020 21 02 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Robotics Robot vision Construction industry Artificial intelligence Neural networks Hazardous Figure 1 Dr Matanya...

... forte. Joanne Pransky can be contacted at: joannepransky@gmail.com 01 02 2019 01 02 2019 05 02 2019 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Grippers Artificial intelligence Neural networks Robotics Flexible...

...J.F. Aviles-Viñas; I. Lopez-Juarez; R. Rios-Cabrera Purpose – The purpose of this paper was to propose a method based on an Artificial Neural Network and a real-time vision algorithm, to learn welding skills in industrial robotics. Design/methodology/approach – By using an optic camera...

... is obtained based on the practical omni‐directional wheeled mobile manipulator system. Second, the RBF neural network is used to identify the unstructured system dynamics directly due to its ability to approximate a nonlinear continuous function to arbitrary accuracy. Using the learning ability of neural...

... Network Approach . Springer , 2001 . 210 pp. , ISBN: 1‐85233‐342‐1   £49.50 Hardback © MCB UP Limited 2002 --> Neural networks Control This book is part of the “Advances in Industrial Control” series, which aims to provide rapid dissemination of the latest research in all...

... and experimental results for real time humanoid robot gait generation realized with the “Bonten‐Maru I” humanoid robot. The results showed that the Neural Network modules generate in a very short time a stable humanoid robot motion. We have proposed a method for the humanoid robot gait generation based...

...Genci Capi; Yasuo Nasu; Leonard Barolli; Kazuhisa Mitobe; Mitsuhiro Yamano Going upstairs is a common humanoid robot task. In this paper, a genetic algorithm (GA) gait synthesis method for going upstairs and a radial basis function neural network (RBFNN) implementation, are considered. The gait...

.... It is suitable for researchers and postgraduate students who are interested in this subject. This book provides a comprehensive introduction to evolutionary robotics, a technique for the automatic control and creation of autonomous robots. Utilising neural networks, genetic algorithms, dynamic systems...

... the localization accuracy for mobile robots in a continuous operation, in which the Kalman filter algorithm is adopted to integrate odometry data with scanner data to achieve the required robustness and accuracy. The Kohonen neural networks have been used to recognize landmarks using scanner data in order...

...Jon Rigelsford © MCB UP Limited 2000 --> Genetic algorithms Tabu search Neural networks D.T. Pham and D. KarabagaSpringer-Verlag2000302 pp.ISBN 1-85233-028-7£39.50Hardcover Keywords Genetic algorithms, Tabu search, Neural networks Intelligent Optimisation...

... of a mobile robot, which can sense and transmit the image of the internal surface to a remote analysis center, where the image is processed and recorded. A neural network‐based pattern classifier is employed to assist inspectors to detect the flaws that appear in the surface of the vessel. Because the real...