Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems

Yu, Xianjia; Li, Qingqing; Queralta, Jorge Peña; Heikkonen, Jukka; Westerlund, Tomi

doi:10.1109/meco52532.2021.9460266

Cited by 31 publications

(20 citation statements)

References 80 publications

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“…Initial search employed Google Scholar [38] to find the three most up to date surveys covering SR [39], UWB applied within the robotics realm [40] and SR UM [41]. Enrichment was only applied where the article(s) were not entirely up-to-date [39,41].…”

Section: Search Process and Enrichmentmentioning

confidence: 99%

“…89 papers were reduced to 69, filtered to research including areas covering RHR and UM techniques. B) RQ4 was based on papers identified in an UWB robotics article by [40]. 106 papers were reduced to 40, filtered to research including solely robots and / or UWB implementation.…”

Section: Filtering Criteriamentioning

confidence: 99%

“…40 papers were included in the review by [40], 23 involved robots. Figure 10 shows how they broke down into categories, including 12 Unmanned Arial Vehicles (UAV), 6 Unmanned Ground Vehicles (UGV), 2 small lab robots, 2 robotic arms and 1 Coal Mining Robot (CMR).…”

Section: Rq4mentioning

confidence: 99%

“…Based on bandwidth and calculation of varying resolution payloads, they estimated between 254 and 6171 [88]. [40] also highlighted solutions, including body orientation measurement [89; 90] and human-robot collision avoidance [91].…”

Section: Rq4mentioning

confidence: 99%

“…The fixed anchor approach to locating transceivers is the most suitable for SR applied in the commercial retail environment. It allows for remote processing, reduces cost, and does not require robot hardware modification [40]. Positioning sample rates can be varied between 10s and 100ms, the setting of which is dependent upon expected tag movement velocity.…”

Section: Rq4mentioning

confidence: 99%

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The Internet of Social Robots with Things (IoSRT)

Hargreaves¹

2022

Preprint

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This literature review explored how ultra-wideband technologies may advance social robotics in the commercial domain, considering robot-human recognition and user modelling. Three existing articles entered the review, two were enriched using the systematic mapping study approach, following exclusions 123 papers entered into the inquiry. Focus areas included understanding how diminished user exposure affects adaptivity in social robots, their recognition modalities, impact of face masks, user modelling architectures and existing ultra- wideband implementations within the wider robotics realm. Results demonstrated the multi- faceted dependencies social robots have with faces, limited user exposure led to loss of key features, ultra-wideband had not been applied with social robots. Exploration of user modelling techniques points to Bayesian inference as a way to inform dialogue strategy. The next generation of social robot in the commercial space may be defined as an instrument within the wider cyber-physical system where it becomes a socially intelligent, knowledgeable agent. Ultra-wideband combined with systems from Industry 4.0 appear to not only hold the key to identifying humans accurately but could also add pseudo- autobiographical memory that does not require prior user exposure.

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Section: Search Process and Enrichmentmentioning

confidence: 99%

Section: Filtering Criteriamentioning

confidence: 99%

Section: Rq4mentioning

confidence: 99%

Section: Rq4mentioning

confidence: 99%

Section: Rq4mentioning

confidence: 99%

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The Internet of Social Robots with Things (IoSRT)

Hargreaves¹

2022

Preprint

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An introductory review of swarm technology for spacecraft on‐orbit servicing

Asri,

Zhu

2024

Int Journal of Mech Sys Dyn

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This review paper presents a comprehensive evaluation and forward‐looking perspective on the underexplored topic of servicing target objects using spacecraft swarms. Such targets can be known or unknown, cooperative or uncooperative, and pose significant challenges in modern space operations due to their inherent complexity and unpredictability. Successfully servicing space objects is vital for active debris removal and broader on‐orbit servicing tasks such as satellite maintenance, repair, refueling, orbital assembly, and construction. Significant effort has been invested in the literature to explore the servicing of targets using a single spacecraft. Given its advantages and benefits, this paper expands the discussion to encompass a swarm approach to the problem. This review covers various single‐spacecraft approaches and presents a critical examination of the existing, although limited, body of work dedicated to servicing orbital objects using multiple spacecraft. The focus is also broadened to include some influential studies concerning the characterization, capture, and manipulation of physical objects by general multiagent systems, a subject with significant parallels to the core interest of this manuscript. Furthermore, this article also delves into the realm of simultaneous localization and mapping, highlighting its application within close‐proximity operations in space, especially when dealing with unknown uncooperative targets. Special attention is paid to the benefits that this field can receive from distributed multiagent architectures. Finally, an exploration of the promising field of swarm robotics is presented, with an emphasis on its potential to revolutionize the servicing of orbital target objects. Concurrently, a survey of general research directly engaging swarms in the orbital context is conducted. This review aims to bridge the knowledge gap and stimulate further research in the underexplored domain of servicing space targets with spacecraft swarms.

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