A review of platforms for simulating embodied agents in 3D virtual environments

Kaur, Deepti Prit; Singh, Narinder; Banerjee, Bonny

doi:10.1007/s10462-022-10253-x

Cited by 11 publications

(6 citation statements)

References 41 publications

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“…When these technologies are adopted, a dramatic shift happens in the manufacturing process. Robotics deployment streamlines operations, while ML and AI promote adaptive learning mechanisms (Kaur et al ., 2022). This combination leads to an increase in efficiency and precision.…”

Section: Literature Reviewmentioning

confidence: 99%

Metaverse adoption as a cornerstone for sustainable healthcare firms in the industry 5.0 epoch

Shehzad,

Ramtiyal,

Jabeen

et al. 2024

JEIM

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PurposeThis research looks into the revolutionary potential of Industry 5.0, healthcare, sustainability and the metaverse, with a focus on the transformation of healthcare firms through cutting-edge technologies such as artificial intelligence (AI) and Internet of Things (IoT). The study emphasizes the significance of sustainability, human-machine collaboration and Industry 5.0 in the development of a technologically advanced, inclusive and immersive healthcare system.Design/methodology/approachThe study surveyed 354 medical professionals and used structural equation modeling (SEM) to investigate healthcare sustainability, Industry 5.0 and the metaverse, emphasizing the integration of modern technology while maintaining ethical issues.FindingsThe findings highlight Industry 5.0’s and the metaverse’s transformational potential in healthcare firms. The study finds that human centricity (HC) has only a minor direct impact on healthcare sustainability, whereas intelligent automation (IA) and innovation (INN) play important roles that are regulated by external factors.Practical implicationsUtilizing IA inside healthcare organizations can result in significant industrial advancements. However, these organizations must recognize the importance of moderating factors and attempt to find a balance between INN and thesev restraints.Originality/valueThis study makes a substantial contribution to the field by investigating the potential of Industry 5.0, healthcare, sustainability and the metaverse. It discusses how these advances can transform healthcare firms, with an emphasis on patient-centered treatment, environmental sustainability and data ethics. The study emphasizes the importance of having a thorough awareness of these trends and their implications for healthcare practices.

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Section: Literature Reviewmentioning

confidence: 99%

Metaverse adoption as a cornerstone for sustainable healthcare firms in the industry 5.0 epoch

Shehzad,

Ramtiyal,

Jabeen

et al. 2024

JEIM

View full text Add to dashboard Cite

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“…Therefore, a physics and game engine capable of supporting multi-agent systems can be the solution to address this issue. A physics engine simulates physical interactions (e.g., PyBullet [ 26 ], MuJoCo [ 27 ]), while a game engine is a versatile software framework for game development (e.g., Doom [ 28 ], Unreal [ 29 ]), including graphics, physics, AI, and networking capabilities [ 30 ]. In this paper, the game engine was used to visually demonstrate the 3D environment and the physical engine was used to conduct DRL in a more realistic environment.…”

Section: Literature Surveymentioning

confidence: 99%

BoxStacker: Deep Reinforcement Learning for 3D Bin Packing Problem in Virtual Environment of Logistics Systems

Murdivien,

2023

Sensors

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Manufacturing systems need to be resilient and self-organizing to adapt to unexpected disruptions, such as product changes or rapid order, in supply chain changes while increasing the automation level of robotized logistics processes to cope with the lack of human experts. Deep Reinforcement Learning is a potential solution to solve more complex problems by introducing artificial neural networks in Reinforcement Learning. In this paper, a game engine was used for Deep Reinforcement Learning training, which allows visualization of view learning and result processes more intuitively than other tools, as well as a physical engine for a more realistic problem-solving environment. The present research demonstrates that a Deep Reinforcement Learning model can effectively address the real-time sequential 3D bin packing problem by utilizing a game engine to visualize the environment. The results indicate that this approach holds promise for tackling complex logistical challenges in dynamic settings.

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“…For example, agents' bodies are usually created with computer animation software (e.g., Adobe Character Animator, version 23.1), and their behaviors are controlled by a fixed set of algorithms [98]. Such software platforms can simulate embodied agents in 3D virtual environments [99].…”

Section: Technologies For Agent Embodimentmentioning

confidence: 99%

Fintech Agents: Technologies and Theories

Pal,

Gopi,

Lee

2023

Electronics

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Many financial technology (fintech) applications have incorporated interactive computer agents to act as mediators between the user and the fintech system. This paper provides a comprehensive review of interactive fintech agents from technological and social science perspectives. First, we explain the general fintech landscape and define interactive fintech agents. Next, we review the major technologies involved in creating fintech: (1) artificial intelligence and machine learning, (2) big data, (3) cloud computing, and (4) blockchain; as well as the specific key technologies enabling the following aspects of interactive fintech agents: (1) intelligence, (2) understanding of users, and (3) manifestation as social actors. Following the technology review, we examine issues and theories related to human-fintech agent interaction in the following areas: (1) agents’ understanding of users, (2) agents’ manifestation as social actors (via embodiment, emotion, and personality), and (3) users’ social interaction with agents. Finally, we suggest directions for future research on fintech agents.

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A review of platforms for simulating embodied agents in 3D virtual environments

Cited by 11 publications

References 41 publications

Metaverse adoption as a cornerstone for sustainable healthcare firms in the industry 5.0 epoch

Metaverse adoption as a cornerstone for sustainable healthcare firms in the industry 5.0 epoch

BoxStacker: Deep Reinforcement Learning for 3D Bin Packing Problem in Virtual Environment of Logistics Systems

Fintech Agents: Technologies and Theories

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