Smart Cleaner: A New Autonomous Indoor Disinfection Robot for Combating the COVID-19 Pandemic

Ruan, Kaicheng; Wu, Zehao; Xu, Qingsong

doi:10.3390/robotics10030087

Cited by 36 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Bilaterally Teleoperated Robot System: The system uses robots, such as manipulators (model: UR5e, from Universal Robots) or a UGV, [67] as the external device. The operator uses the FBD interface to control the robot movement and receive haptic feedback through vibration.…”

Section: Methodsmentioning

confidence: 99%

A Flexible Bidirectional Interface with Integrated Multimodal Sensing and Haptic Feedback for Closed‐Loop Human–Machine Interaction

Feng,

Lei,

Wang

et al. 2023

Advanced Intelligent Systems

Self Cite

View full text Add to dashboard Cite

Human–machine interaction (HMI) establishes an interconnected bridge between humans and robots and plays a significant role in industry and medical fields. However, the conventional interface is bulky and rigid with a single function. It lacks feedback information to be provided to the user, limiting its application scenarios and the ability to complete complex tasks in a dynamic environment. Herein, a flexible bidirectional (FBD) interface with integrated multimodal sensing and haptic feedback and the development of an FBD‐based closed‐loop HMI platform are presented. The proposed FBD interface offers programmable haptic feedback through a coin vibration motor array to endow the user with better performance in missions. The multimodal sensing array can perceive signals of joint movement and the pressure imposed on the skin. In addition, the FBD interface exhibits significant advantages of flexibility and a compact structure. The experimental tests verify that the multimodal sensing module can accurately perceive various static and dynamic movements of a human. Furthermore, the actuation module can provide diverse haptic vibrations to convey different information to the user. Moreover, successful applications in the scenarios of bilateral robotic teleoperation and assistance of disabled people indicate great potential of the FBD interface for broad applications.

show abstract

Section: Methodsmentioning

confidence: 99%

A Flexible Bidirectional Interface with Integrated Multimodal Sensing and Haptic Feedback for Closed‐Loop Human–Machine Interaction

Feng,

Lei,

Wang

et al. 2023

Advanced Intelligent Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…BRAÑA (2019) aponta que são 12 as principais tecnologias emergentes que transformarão o sistema produtivo globalmente, porém alguns autores consideram que 3 delas são as mais impactantes: Internet das Coisas (IoT), representando a alta conectividade entre dispositivos, otimizando o processo produtivo e agregando valor aos produtos acabados; manufatura aditiva, simplificando as etapas de pesquisa e desenvolvimento até as etapas de produção; e robótica avançada, reduzindo custos de produção e logística permitindo uma automação flexível e customizável (EUROFUND, 2018). Dentro de robótica, um dos campos de mais rápida expansão da pesquisa científica é a robótica móvel, sendo que os robôs móveis podem substituir os humanos em muitos campos, principalmente por motivos de retirar humanos de trabalhos perigosos (VEGA et al, 2021), como é o caso de muitos robôs para desinfecção do COVID-19 (PERMINOV et al, 2021;RUAN;XU, 2021). Os robôs também podem apresentar melhor performance que humanos em certas aplicações (PARK et al, 2014).…”

Section: Introductionunclassified

Algoritmos de navegação de robôs móveis com tração nas quatro rodas utilizando sistemas de localização absolutos GNSS e RTK

Salarolli¹,

Baptista²,

Oliveira³

et al. 2023

PRW

View full text Add to dashboard Cite

A robótica móvel é uma área em grande crescimento na pesquisa científica e na indústria, devido a sua versatilidade e capacidade de substituir os humanos, especialmente em trabalhos perigosos, e por apresentar melhor desempenho em certas aplicações. Várias delas são em ambientes externos, como em indústrias, aplicações aeroespaciais, petroquímicas, dentre outras. Esse artigo mostra a implementação de um sistema de localização de um robô móvel em ambiente outdoor, utilizando sistema de navegação global por satélite e odometria. Pretende-se, assim, obter uma forma robusta de localização, permitindo uma navegação confiável em diferentes terrenos. Testes foram realizados com a navegação por satélite e a odometria. Percebeu-se que o robô pôde trabalhar bem em ambientes externos capturando corretamente a localização GPS quando comparado com o Google Earth Pro. Com relação a odometria, houve pequenos erros quando o robô se moveu em linha reta, o que aumentou ao se realizar rotações. Isso se deve à característica do funcionamento do robô diferencial 4WD, onde as curvas geram deslizamento das rodas. Além disso, pode‑se demonstrar o bom funcionamento quando feita a fusão dos dados de GNSS, IMU e odometria.

show abstract

“…In the industrial military field, robots play an important role and can participate in several hazardous activities and perform labor instead of humans. With the intelligence of robots, some service robots have also appeared in the market to facilitate people's daily life [4]. When the civilization of robots was widely developed, they became more and more intelligent in order to adapt to the needs of people [5].…”

Section: Introductionmentioning

confidence: 99%

Human posture recognition based on lightweight OpenPose model

Mei,

Wang,

Pan

2023

Third International Conference on Image Processing and Intelligent Control (IPIC 2023)

View full text Add to dashboard Cite

To address the problem of slow inference in the original OpenPose pose estimation model and lower the computing power of the model, this paper first uses MobilenetV3 as backbone to make a lightweight improvement for OpenPose's network, followed by using label fusion correction to further improve the accuracy of the model. These steps make a real-time pose recognition system built on embedded devices on robots possible. The performance of the improved model is verified on the COCO dataset, and the results show that the accuracy of the improved model is not much different from the original OpenPose model, but the detection speed is improved by a factor of 4. Finally, a pose recognition model was trained on the self-built dataset using the skeleton map output from the improved model and validated on the test set, and the experiments indicated that the accuracy of the pose recognition model was 92.5%, which was real-time and suitable for various application scenarios.

show abstract

Smart Cleaner: A New Autonomous Indoor Disinfection Robot for Combating the COVID-19 Pandemic

Cited by 36 publications

References 29 publications

A Flexible Bidirectional Interface with Integrated Multimodal Sensing and Haptic Feedback for Closed‐Loop Human–Machine Interaction

A Flexible Bidirectional Interface with Integrated Multimodal Sensing and Haptic Feedback for Closed‐Loop Human–Machine Interaction

Algoritmos de navegação de robôs móveis com tração nas quatro rodas utilizando sistemas de localização absolutos GNSS e RTK

Human posture recognition based on lightweight OpenPose model

Contact Info

Product

Resources

About