Robot and its living space: A roadmap for robot development based on the view of living space

Cai, Xiaofeng; Ning, Huansheng; Dhelim, Sahraoui; Zhou, Rongjuan; Zhang, Tao; Xu, Yue; Wan, Yueliang

doi:10.1016/j.dcan.2020.12.001

Cited by 34 publications

(20 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the users navigate and teleport in virtual worlds represented by their avatars, this requires the seamless mapping of users in the physical world and their counterparts in the virtual universe. The concept of physical-cyber mapping is not unique feature of Metaverse, it has been used in many other technologies, such as Cyber-Physical-Systems [17], Digital Twin [18], Human-in-the-loop [19], Hybrid Human-Artificial Intelligence [20] and human-robot interaction [21] to name a few, which will be inseparable with Metaverse. However, the Metaverse extends that to larger scale by mapping and simulating all our daily life activities to the cyberspace, and enriching such mapping with an immerse and interactive user experience.…”

Section: A Architecturementioning

confidence: 99%

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

dhelim¹,

Kechadi²,

Chen³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

The Metaverse is a virtual environment where users are represented by avatars to navigate a virtual world, which has strong links with the physical one. State-of-the-art Metaverse architectures rely on a cloud-based approach for avatar physics emulation and graphics rendering computation. Such centralized design is unfavorable as it suffers from several drawbacks caused by the long latency required for cloud access, such as low quality visualization. To solve this issue, in this paper, we propose a Fog-Edge hybrid computing architecture for Metaverse applications that leverage an edge-enabled distributed computing paradigm, which makes use of edge devices computing power to fulfil the required computational cost for heavy tasks such as collision detection in virtual universe and computation of 3D physics in virtual simulation. The computational cost related to an entity in the Metaverse such as collision detection or physics emulation are performed at the end-device of the associated physical entity. To prove the effectiveness of the proposed architecture, we simulate a distributed social metaverse application. Simulation results shows that the proposed architecture can reduce the latency by 50\% when compared with the legacy cloud-based Metaverse applications.

show abstract

Section: A Architecturementioning

confidence: 99%

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

dhelim¹,

Kechadi²,

Chen³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Cai et al [26] set up a theoretical framework of a robot's living space to further understand the human-robot relationship. Their research shows the importance of an appropriate work space environment of robots in dentistry and how to make a collaboration with intelligent robots to achieve hybrid intelligence as well as to build a harmonious human-robot-integrated society.…”

Section: Advances Vs Challengesmentioning

confidence: 99%

Shaping the Future of Smart Dentistry: From Artificial Intelligence (AI) to Intelligence Augmentation (IA)

Hassani

Andi

Ghodsi

et al. 2021

IoT

View full text Add to dashboard Cite

Digitization is the emerging process in the current transformation of industry. Understanding the role and socio-economic consequences of digitalization is crucial for the way technology is being deployed in each sector. One of the affected sectors is dentistry. This study highlights the current advances and challenges in integrating and merging artificial intelligence (AI), intelligence augmentation (IA), and machine learning (ML) in dentistry. We conduct a comparative analysis to give an overview of which technology is being currently deployed and what role IA and AI will play in dentistry, as AI plays an assistive role in advancing human capabilities. We find that challenges range from AI finding its way into routine medical practice to qualitative challenges of retrieving adequate data input. Other challenges lie in the yet unanswered questions of liability in how to reduce deployment costs of new technology. Given these challenges, we provide an outlook of how future technology can be deployed in daily-life dentistry and how robots and humans will interact, given the current technology developments. The aim of this paper is to discuss the future of dentistry and whether it is AI or IA conquering the modern dentistry era.

show abstract

“…There are some schools of thought that have begun to ask the question of whether robots (if capable of moral reasoning) should have rights [60], and what level of autonomous decision making would require robots to have rights, similar to how animals might have rights. The issue of robot rights and robot interests from a legal perspective was raised in [61].…”

Section: Robots Rightsmentioning

confidence: 99%

Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review

Loke

2021

IoT

View full text Add to dashboard Cite

The Internet of Things is emerging as a vast, inter-connected space of devices and things surrounding people, many of which are increasingly capable of autonomous action, from automatically sending data to cloud servers for analysis, changing the behaviour of smart objects, to changing the physical environment. A wide range of ethical concerns has arisen in their usage and development in recent years. Such concerns are exacerbated by the increasing autonomy given to connected things. This paper reviews, via examples, the landscape of ethical issues, and some recent approaches to address these issues concerning connected things behaving autonomously as part of the Internet of Things. We consider ethical issues in relation to device operations and accompanying algorithms. Examples of concerns include unsecured consumer devices, data collection with health-related Internet of Things, hackable vehicles, behaviour of autonomous vehicles in dilemma situations, accountability with Internet of Things systems, algorithmic bias, uncontrolled cooperation among things, and automation affecting user choice and control. Current ideas towards addressing a range of ethical concerns are reviewed and compared, including programming ethical behaviour, white-box algorithms, black-box validation, algorithmic social contracts, enveloping IoT systems, and guidelines and code of ethics for IoT developers; a suggestion from the analysis is that a multi-pronged approach could be useful based on the context of operation and deployment.

show abstract

Robot and its living space: A roadmap for robot development based on the view of living space

Cited by 34 publications

References 19 publications

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

Shaping the Future of Smart Dentistry: From Artificial Intelligence (AI) to Intelligence Augmentation (IA)

Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review

Contact Info

Product

Resources

About