Künstliche Intelligenz als Grundlage autonomer Systeme

Wahlster, Wolfgang

doi:10.1007/s00287-017-1049-y

Cited by 19 publications

(7 citation statements)

References 7 publications

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“…Sensors such as cameras and radar systems, capture the environment surrounding the vehicle. Artificial intelligence is used to evaluate the recorded data and subsequently to change the state of the environment in order to achieve the objectives via actuators [10]. However, while first automated vehicles are tested on public roads, aspects concerning the liability for damages and the role of data privacy protection have not been sufficiently clarified.…”

Section: Autonomous Mobilitymentioning

confidence: 99%

Requirement Analysis for Personal Autonomous Driving Robotic Systems in Urban Mobility

Bärnklau

Rötting

Roesler

et al. 2021

HCI in Mobility, Transport, and Automotive Systems

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Urban mobility is changing due to the emergence of new technologies like autonomously navigating robots. In the future, various transport operators and micro mobility services will be integrated in an increasingly complex mobility system, potentially realizing benefits such as a reduction of congestion, travel costs, and emissions.The field of personal robotic transport agents is projected to increasingly play a role in urban mobility, hence in this study, prospective target groups and corresponding user needs concerning human-following robots for smart urban mobility applications are investigated. Building on an extensive literature review, three focus groups with a total of 19 participants are conducted, utilizing scenario-based design and personas. Results show clearly definable user needs and potential technological requirements for mobile robots deployed in urban road environments. The two most mentioned potential applications were found in the fields of leisure applications and in healthcare for elderly people.Based on these focus group results, two personal automated driving robots which differ in function, operation and interaction were designed. The focus group-based results and derived requirements shed light on the importance of context-sensitivity of robot design.

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Section: Autonomous Mobilitymentioning

confidence: 99%

Requirement Analysis for Personal Autonomous Driving Robotic Systems in Urban Mobility

Bärnklau

Rötting

Roesler

et al. 2021

HCI in Mobility, Transport, and Automotive Systems

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“…Autonomous systems can be used and interlinked in smart factories to meet the requirements of adaptable and flexible production, based on the availability of cyber-physical systems (CPS) with their further development, which leads to the implementation of those autonomous systems [5]. Planning is especially important for autonomous systems, whose characteristics include the ability to make decisions and to adapt to available resources [6]. The aspects of energy-efficient planning thus must be placed in the context of these developments.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Agent-Based Adaptation of Energy-Optimized Production Schedules Using Extensive-Form Games

Motsch,

Wagner,

Ruskowski

2024

Sustainability

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Modular cyber-physical production systems are an important paradigm of Industry 4.0 to react flexibly to changes. The flexibility of those systems is further increased with skill-based engineering and can be used to adapt to customer requirements or to adapt manufacturing to disturbances in supply chains. Further potential for application of these systems can be found in the topic of electrical energy supply, which is also characterized by fluctuations. The relevance of energy-optimized production schedules for manufacturing systems in general becomes more important with the increased use of renewable energies. Nevertheless, it is often difficult to adapt when short-term energy price updates or unforeseen events occur. To address these challenges with an autonomous approach, this contribution focuses on extensive-form games to adapt energy-optimized production schedules in an agent-based manner. The paper presents agent-based modeling to transform and monitor energy-optimized production schedules into game trees to respond to changing energy prices and disturbances in production. The game is setup with a scheduler agent and energy agents who are considered players. The implementation of the mechanism is presented in two use cases, realizing decision making for an energy price update in a simulation example and for unforeseen events in a real-world demonstrator.

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“…At the same time, AI digital equipment has become a trend as advances in machine learning [4] have increased the possibility of AI applications. There are many differences between artificial intelligence, digital equipment and traditional machine and equipment interaction.…”

Section: Introductionmentioning

confidence: 99%

Design a Digital Interactive Device X-Mind Based on the ADHD Patient User Experience

Zheng

2023

Frontiers in Artificial Intelligence and Applications

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Children with attention deficit hyperactivity disorder (ADHD) are difficult to maintain focus and complete daily tasks due to impaired executive function, ultimately leading to a negative self-image. We conducted patient-family experiments to evaluate the positive effects of positive digital equipment on ADHD patients in their families by contrast models. And optimize to equip the scene design and prototype design of digital equipment with active voice system to improve the results. We found that after interacting with the digital gear X-mind designed for positive experience, work was considered more positive, natural, and presented more positive content and provided potential therapeutic benefits for ADHD patients compared to traditional digital gear with the same function.

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Künstliche Intelligenz als Grundlage autonomer Systeme

Cited by 19 publications

References 7 publications

Requirement Analysis for Personal Autonomous Driving Robotic Systems in Urban Mobility

Requirement Analysis for Personal Autonomous Driving Robotic Systems in Urban Mobility

Autonomous Agent-Based Adaptation of Energy-Optimized Production Schedules Using Extensive-Form Games

Design a Digital Interactive Device X-Mind Based on the ADHD Patient User Experience

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