Artificial intelligence Machine learning Deep learning Advanced robotics 1. Introduction Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are all important technologies in the field of
This chapter first intends to provide background concepts on the fundamental building blocks of machine learning and deep learning techniques that are in practice today. In addition, the chapter reviews literatures in computer vision and robotics in agriculture highlighting the applications of machine/...
Siemens and Mech-Mind offer enhanced motion planning solution for advanced robotics applications Mech-Mind Robotics Technologies Ltd. (Mech-Mind) was founded in 2016 with a vision to put intelligence into industrial robots. Through advanced technologies including deep learning, 3D vision, and robotic ...
The proposed approach combines the benefits of advanced drone technology and deep learning methods to create an effective and versatile surveillance system with potential applications in various security scenarios. This highlights two basic challenges for the intelligent surveillance systems. First, the ...
This comprehensive review highlights the significant strides made in the field of food freshness detection through the integration of deep learning and ima
Robotics and Cyber-Physical Systems AI for Combinatorial Games, Video Games and Serious Games AI-centered Systems and Large-Scale Applications AI for Autonomous Systems and Self-Driving Technologies Digital Twins and Virtual Environments 4. Explainability, Ethics, and Governance ...
By examining the interaction between advanced power management and learning integration, this review anticipates a future where robots operate with increased efficiency, adapt to various tasks and drive technological innovation across a wide range of industries. Keywords: robotics; power converters; energy...
His research interests include reinforcement learning, partially observable MDP, robotics, and self-triggered control. Kenji Kashima Kenji Kashima received his Doctoral degree in Informatics from Kyoto University in 2005. He was with Tokyo Institute of Technology, Universität Stuttgart, Osaka University,...
We're Defining Possible by embracing the evolution of manufacturing initiatives underpinned by the expanding impact of carbon fiber 3D printing, deep learning robotics and data-driven hypersonic testing. This ongoing shift is an outcome of us embracing Agile methodologies, and has become part of our...
Autonomous robots, in particular, heavily rely on deep learning technologies for sensing and interpreting their environments. In this context, this paper presents an extended MobileNetV2-based obstacle avoidance method for mobile robots. The deep network architecture used in the proposed method has a ...