Results 111 to 120 of about 11,612 (263)

A Self-Learning Robotic System Solution for Industrial Applications Using Imitation Learning

Artificial Intelligence, robotics, and industrial automation are advancing rapidly to enhance human capabilities and manufacturing efficiency. The UK industry requires self-learning robots that utilise machine and deep learning techniques like Computer ...
Jadeja, Y.
core   +1 more source

Entrepreneurial orientation and the threat of imitation: the influence of upstream and downstream capabilities [PDF]

, 2013
This paper uncovers the complexity between Entrepreneurial Orientation (EO) and performance. The paper explores the effect of the threat of imitation, which is a key external factor to explain competitive dynamics, and hence highlights effectiveness of ...
Canales, J.I., García-Villaverde, P.M., Ruiz-Ortega, M.J.   +2 more
core   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

A comprehensive review of robotics advancements through imitation learning for self-learning systems [PDF]

In recent years, robotics and artificial intelligence (AI) have witnessed significant growth, particularly in self-learning systems. This paper examines the remarkable progress made in this area, with a particular focus on the utilisation of imitation ...
Wood, P., Jadeja, Y., Makkar, A., Shafik, M.   +3 more
core  

Neural Network-Based Learning from Demonstration of an Autonomous Ground Robot

Machines, 2019
This paper presents and experimentally validates a concept of end-to-end imitation learning for autonomous systems by using a composite architecture of convolutional neural network (ConvNet) and Long Short Term Memory (LSTM) neural network. In particular,
Yiwei Fu, Devesh K. Jha, Zeyu Zhang, Zhenyuan Yuan, Asok Ray   +4 more
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Effects of sensorimotor learning on the human mirror neuron system [PDF]

, 2009
The discovery, in the monkey, of “mirror” neurons, which fire in response both to the performance and to the observation of specific actions, has prompted extensive research into their properties, and into the possible functions of a putative mirror ...
Catmur, C, Catmur, C.
core  

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Is automatic imitation a specialized form of stimulus–response compatibility? Dissociating imitative and spatial compatibilities [PDF]

, 2012
In recent years research on automatic imitation has received considerable attention because it represents an experimental platform for investigating a number of inter-related theories suggesting that the perception of action automatically activates ...
Longo, Matthew R., Bertenthal, B.I., Boyer, T.W.   +2 more
core   +1 more source

Domain Adaptive Imitation Learning

, 2019
We study the question of how to imitate tasks across domains with discrepancies such as embodiment, viewpoint, and dynamics mismatch. Many prior works require paired, aligned demonstrations and an additional RL step that requires environment interactions. However, paired, aligned demonstrations are seldom obtainable and RL procedures are expensive.
Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon   +4 more
openaire   +3 more sources