Sökning: "collaborative artificial intelligence"
Visar resultat 1 - 5 av 34 uppsatser innehållade orden collaborative artificial intelligence.
1. Enhancing human-robot interaction using mixed reality
Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. LÄS MER
2. Developing High level Behaviours for the Boston Dynamics Spot Using Automated Planning
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : Over the years, the Artificial Intelligence and Integrated Computer Systems (AIICS) Division at Linköping University has developed a high-level architecture for collaborative robotic systems that includes a delegation system capable of defining complex missions to be executed by a team of agents. This architecture has been used as a part of a research arena for developing and improving public safety and security using ground, aerial, surfaceand underwater robotic systems. LÄS MER
3. Leveling Up the Playing Field: Exploring the Strengths and Weaknesses of AI-Generated Content in Game Development
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : The development of video games is a long and expensive process, and it is not uncommon for studios to require their workers to work overtime to meet deadlines, resulting in stressful work environments and reduced worker performance. Recent advancements in artificial intelligence (AI) research have people excited that perhaps this might change. LÄS MER
4. Unlocking the Potential of AI-driven Circular Business Model Innovation : A case study of an industrial symbiosis
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleSammanfattning : Purpose – This study aims to explore and provide empirical insights into AI-driven circular business model innovation (CBMI) in industrial symbiosis. In doing so, it addresses the knowledge gap regarding how industrial companies can use AI to amplify circular business models and facilitate AI-driven circular innovation. LÄS MER
5. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. LÄS MER