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A Systematic Mapping Study on Edge Computing and Analytics
The vast amount of data provided by the Internet of Things and sensors, have given rise to edge computing and analytics. In edge computing and analytics, data processing and analysis on sensor input is performed in edge ...
Developing Intelligent Multimodal IVI Systems to Reduce Driver Distraction
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their relatively steep learning curve and the ...
Autonomous Heavy-Duty Mobile Machinery : A Multidisciplinary Collaborative Challenge
Heavy-duty mobile machines (HDMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortages, poor safety records, and harsh work ...
Prosumer centric digital energy ecosystem framework
Climate change is putting pressure on governments, policy makers and international organizations to increase energy efficiency and move towards using renewable energy sources. To meet growing need for energy and at the ...
An approach for the bimanual manipulation of a deformable linear object using a dual-arm industrial robot : cable routing use case
The automation of processes that handle deformable materials is considered to be a complicated task. Due to their properties, these materials require specialised solutions for their manipulation, using robotic systems and ...
Three-Pond Model with Fuzzy Inference System-Based Water Level Regulation Scheme for Run-of-River Hydropower Plant
Power generation from river hydropower plants depends mainly on river flow. Water fluctuations in the river make the yield process unpredictable. To reduce these fluctuations, building a small reservoir at the river flow ...
Roadmap on artificial intelligence and big data techniques for superconductivity
This paper presents a roadmap to the application of AI techniques and big data (BD) for different modelling, design, monitoring, manufacturing and operation purposes of different superconducting applications. To help ...
SingleDemoGrasp : Learning to Grasp From a Single Image Demonstration
Learning-based grasping models typically require a large amount of training data and training time to generate an effective grasping model. Alternatively, small non-generic grasp models have been proposed that are tailored ...