Cosero, Find My Keys! Object Localization and Retrieval Using Bluetooth Low Energy Tags

Schwarz, David; Schwarz, Max; Stückler, Jörg; Behnke, Sven

doi:10.1007/978-3-319-18615-3_16

Cited by 20 publications

(12 citation statements)

References 13 publications

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“…We observe the same technology shift in the field of indoor positioning systems, where BLE [19], [20], [21] gradually replaces active RFID [15], [17], [18]. For more information on RFID-and BLE-based localization systems, we refer to [14], [16], [22].…”

Section: State-of-the-artmentioning

confidence: 95%

Bluetooth Low Energy as enabling technology for Be-In/Be-Out systems

Narzt

Mayerhofer

Weichselbaum

et al. 2016

2016 13th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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Be-In/Be-Out (BIBO) is considered a simple paradigm for hands-free interaction in the domain of multimodal public transport systems where travellers automatically obtain their tickets by entering and leaving means of transportation. The infrastructure in the vehicles detects the passengers' presence and initiates services unnoticed in the background. Whereas first implementations of BIBO systems are based on active Radio Frequency Identification (RFID), where users carry small RFIDtags in their pockets, we focus on Bluetooth Low Energy (BLE) as an alternative but potentially more powerful technology for this domain. We try to carve out differences, accentuate arising opportunities for interaction and evidence the applicability of BLE for BIBO systems by a series of conducted screening tests.

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Section: State-of-the-artmentioning

confidence: 95%

Bluetooth Low Energy as enabling technology for Be-In/Be-Out systems

Narzt

Mayerhofer

Weichselbaum

et al. 2016

2016 13th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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“…Various types of sensors, such as wireless tags [4,24,26,34,38], Bluetooth [17,27,30], stationary cameras [6,39], and wearable cameras [10,11,37], have been studied for systems to assist users in finding lost objects. Active and passive radio-frequency identification (RFID) tags are frequently deployed by attaching them to target objects.…”

Section: Related Work 21 Computational Systems For Finding Lost Objectsmentioning

confidence: 99%

GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery

Yagi

Nishiyasu

Kawasaki

et al. 2021

26th International Conference on Intelligent User Interfaces

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People spend an enormous amount of time and effort looking for lost objects. To help remind people of the location of lost objects, various computational systems that provide information on their locations have been developed. However, prior systems for assisting people in finding objects require users to register the target objects in advance. This requirement imposes a cumbersome burden on the users, and the system cannot help remind them of unexpectedly lost objects. We propose GO-Finder ("Generic Object Finder"), a registration-free wearable camera based system for assisting people in finding an arbitrary number of objects based on two key features: automatic discovery of hand-held objects and image-based candidate selection. Given a video taken from a wearable camera, Go-Finder automatically detects and groups hand-held objects to form a visual timeline of the objects. Users can retrieve the last appearance of the object by browsing the timeline through a smartphone app. We conducted a user study to investigate how users benefit from using GO-Finder and confirmed improved accuracy and reduced mental load regarding the object search task by providing clear visual cues on object locations. CCS CONCEPTS• Human-centered computing → Ubiquitous and mobile computing systems and tools.

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“…As shown in Figure 9C, the resulting position estimates are still noisy, so we smooth them with a windowed mean over 30 s. Such coarse position estimates hint to typical placement locations in the environment, from which our robot can retrieve the objects. Further details of the method are reported by Schwarz et al (2015a).…”

Section: Figure 8 | Object Tracking Using Registration Of Object Modementioning

confidence: 99%

Mobile Manipulation, Tool Use, and Intuitive Interaction for Cognitive Service Robot Cosero

2016

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Cognitive service robots that shall assist persons in need of performing their activities of daily living have recently received much attention in robotics research. Such robots require a vast set of control and perception capabilities to provide useful assistance through mobile manipulation and human-robot interaction. In this article, we present hardware design, perception, and control methods for our cognitive service robot Cosero. We complement autonomous capabilities with handheld teleoperation interfaces on three levels of autonomy. The robot demonstrated various advanced skills, including the use of tools. With our robot, we participated in the annual international RoboCup@Home competitions, winning them three times in a row.

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Cosero, Find My Keys! Object Localization and Retrieval Using Bluetooth Low Energy Tags

Cited by 20 publications

References 13 publications

Bluetooth Low Energy as enabling technology for Be-In/Be-Out systems

Bluetooth Low Energy as enabling technology for Be-In/Be-Out systems

GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery

Mobile Manipulation, Tool Use, and Intuitive Interaction for Cognitive Service Robot Cosero

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