Artificial Neural Networks and Machine Learning - ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I

The 4-volume set of LNCS 13529, 13530, 13531, and 13532 contains the proceedings of ICANN 2022, a dual-track conference with strong cross-disciplinary interactions and applications, including a chapter on sim-to-real neural learning with domain randomization for humanoid robot grasping.

Format: Paperback / softback
Length: 761 pages
Publication date: 07 September 2022
Publisher: Springer International Publishing AG

The 4-volume set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks (ICANN) 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain-inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.

Chapter "Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

ICANN 2022 brought together researchers, scientists, and experts from around the world to explore the latest advancements in artificial neural networks and their applications. The conference featured a wide range of topics, including brain-inspired computing, machine learning, deep learning, and neural networks for robotics and autonomous systems.

One of the highlights of ICANN 2022 was the presentation of Chapter "Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping". This chapter explores the use of domain randomisation in neural network training to improve the performance of humanoid robot grasping tasks. Domain randomisation involves training a neural network on a diverse set of tasks and environments, which helps the network generalise better and perform more robustly in real-world scenarios.

The conference also featured several keynote speeches and panel discussions, where leading researchers and industry experts shared their insights and perspectives on the future of artificial neural networks. Topics covered included the development of new neural network architectures, the application of artificial neural networks in healthcare and finance, and the challenges and opportunities in deploying artificial neural networks at scale.

Overall, ICANN 2022 was a successful event that showcased the latest research and developments in the field of artificial neural networks. The conference provided a platform for researchers, scientists, and industry professionals to exchange ideas, collaborate, and drive innovation in the field. The proceedings of ICANN 2022 will be valuable for future research and will contribute to the ongoing development of artificial neural networks and their applications.

Weight: 1187g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031159183
Edition number: 1st ed. 2022