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IEEE International Conference on Real-time Computing and robotics (RCAR)

作者： Chenting Gu Xiaofeng Liu Yongsheng Ou Chao Liu Hao Tao Tianyun Shi HoHai University Nanjing China Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology Shenzhen China Key Laboratory of Special Robots Changzhou China Changzhou Key Laboratory of Robots and Intelligent Technology Changzhou China College of IoT Engineering Hohai University Changzhou China Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China China Ship Development and Design Center Wuhan Tian-yun Shi China Academy of Railway Sciences Corporation Limited Beijing China

ISBN: (数字)9781728172934

ISBN: (纸本)9781728172941

LED based positioning technology has recently become a popular choice due to the low cost, convenience for maintenance and strong adaptability to the environment. In this paper, we introduce an illuminance-distance analysis method with a rolling shutter camera, for a low-cost indoor positioning system to improve robustness in the case of insufficient LEDs. Firstly, the binary threshold method is used to decode the light signals. Then the gray value information of image is extracted to analyze the depth of LEDs, using the illuminance attenuation theorem. It provides potential solution to the position of devices with the camera by combining depth information, image and camera intrinsic. Our proposed method reduced the minimum number of LEDs observed by the camera from three to two, using only the camera. We evaluated the proposed method with real scene data and demonstrated the effectiveness of illumination-distance model based localization.

关键词： Light emitting diodes Cameras Receivers Light sources Robots Mathematical model Image sensors

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Low SNR communications using a double Wiener filter in an upwelling environment

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Proceedings of Meetings on Acoustics 2021年第1期44卷

作者： Fabio B. Louza Sergio Manuel Jesus 1Laboratory of Robotics and Engineering Systems (LarSys) University of Algarve Faro Faro 8005 139 PORTUGAL fblouza@ualg.pt sjesus@ualg.pt

This paper presents a double Wiener filter approach for low SNR communications. Low power superim-posed training bitstreams are transmitted and recorded on a four-hydrophone pyramidal array. The method uses a minimum mean square error (MSE) Wiener filter for channel equalization. To explore temporal diversity, a fast Hadamard transform estimates the channel impulse responses for synchronization of the filtered bitstreams. Coherent averaging of time-aligned signals results in an error-corrected bitstream. A second Wiener filter is then applied over the averaged sequence to eliminate residual intersymbol interference. After removing the probe interference, the original message is recovered. To prove the concept, a small subset of data collected during the experiment BioCom’19 was used. The short-range experiment was performed in an upwelling shallow-water site, in Cabo Frio Island bay (Brazil), a challenging environment for communications due to the rapid ocean temperature stratification. Despite BER fluctuation, the proposed scheme proved robust, dealing with these short time scale signal fluctuations and high noise levels that hamper efforts to recover the message. The four channels were processed independently. Compared to a previous method based on a single Wiener, the double Wiener filter approach achieved better performance, providing an average MSE gain up to 2.8 dB.

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Development of a Bioinstrumentation System in the Interaction between a Human and a Robot

Development of a Bioinstrumentation System in the Interactio...

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2006 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Kazuko Itoh Hiroyasu Miwa Yuko Nukariya Massimiliano Zecca Hideaki Takanobu Stefano Roccella Maria Chiara Carrozza Paolo Dario Atsuo Takanishi ROBOCASA Tokyo Japan Department of Mechanical Engineering Waseda University Tokyo Japan Humanoid Robotics Institute (HRI) Waseda University Tokyo Japan Digital Human Research Center National Institute of Advanced Industrial Science and Technology (AIST) Tokyo Japan Graduate School of Science and Engineering Waseda University Tokyo Japan Department of Mechanical Systems Engineering Kogakuin University Tokyo Japan ASMeW Waseda University Tokyo Japan Scuola Superiore Sant Anna ARTS Laboratory Italy Scuola Superiore Sant' Anna ARTS Lab Pontedera Italy Advanced Research Institute for Science and Engineering Waseda University Tokyo Japan Tokyo Japan

Personal robots, which are expected to become popular in the future, are required to be active in joint work and community life with humans. Such robots must have no bad physical or psychical effect on humans. The psychical effect of a robot on humans has been subjectively measured using questionnaires. However, it has not been objectively measured yet. Human emotion and the consciousness direction can be measured by physiological parameters and body motion, respectively. Therefore, the bioinstrumentation system WB-1 was developed in order to objectively measure the psychical effect of a robot on a human. It can measure physiological parameters such as respiration, heart rate, perspiration and pulse wave, and arm motion. Analyzing human stress in the interaction with a robot from electrocardiogram, the robot could generate a motion for decreasing the stress

关键词： Human robot interaction Robot kinematics Humanoid robots Service robots Psychology Biomedical measurements Biomedical engineering Orbital robotics Intelligent robots Motion measurement

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Erratum to “Time-Series Embeddings from Language Models:A Tool for Wind Direction Nowcasting”

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Journal of Meteorological Research 2024年第4期38卷 844-844页

作者： Decio ALVES Fabio MENDONCA Sheikh Shanawaz MOSTAFA Fernando MORGADO-DIAS University of Madeira Campus Universitario da Penteada 9020-105 FunchalPortugal Interactive Technologies Institute/Laboratory for Robotics and Engineering Systems and Agencia Regional para o Desenvolvimento da Investigaao Tecnologia e InovagaoEdif.Madeira TecnopoloCaminho da Penteada piso-29020-105 FunchalPortugal

The article “Time-series embeddings from language models: A tool for wind direction nowcasting”, written by Décio ALVES, Fábio MENDON?A, Sheikh Shanawaz MOSTAFA, and Fernando MORGADO-DIAS was originally pu... 详细信息

关键词： Embedding electronic Time

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Design and analysis of a soft bellow-based robot for dysphagia rehabilitation

Design and analysis of a soft bellow-based robot for dysphag...

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International Conference on Mechatronics and Machine Vision in Practice (M2VIP)

作者： Linlin Guo Yu Dang Yue Wang Jinqiao Wu Yang Yu Jialing Wu Jianda Han College of Artificial Intelligence Nankai University Tianjin China Engineering Research Center of Trusted Behavior Intelligence Ministry of Education Nankai University Tianjin China Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Shenzhen China Department of Rehabilitation Medicine Tianjin Huanhu Hospital Tianjin China Department of Neurology Tianjin Huanhu Hospital Tianjin China

ISBN: (数字)9798350391916

ISBN: (纸本)9798350391923

As the population ages, the incidence of diseases such as stroke is increasing, leading to a growing number of patients with dysphagia or difficulty swallowing. Dysphagia directly affects the hydration and nutritional intake, potentially leading to serious complications such as aspiration pneumonia, severely threatening patients' health and quality of life. Currently, the rehabilitation of swallowing function mainly relies on therapists to conduct swallowing training for patients. However, the high incidence and long duration of swallowing rehabilitation training pose a burden on the patients and medical resources. There remains a gap in the robotic devices for swallowing rehabilitation. To address this gap, this paper proposes a soft bellow-shaped robot for dysphagia rehabilitation. One mode of the rehabilitation training, where the therapist manipulates the throat to move horizontally, is selected to mimic. This robot simulates the force and displacement applied by the therapist's fingertip during dysphagia rehabilitation. First, swallowing training data were collected and analyzed to understand the variations in displacement and force applied by therapists' fingertips on the throat. Based on this analysis, the technical requirements for the swallowing rehabilitation robot were summarized. Following these requirements, we designed a physical prototype of the pneumatic bellow-shaped robot. The robot simulates the fingertip movement on both sides of the throat through the linear elongation and contraction of the bellows. The performance of the soft bellows was then characterized, verifying that its output force and displacement meet the technical requirements. This characterization lays a foundation for the modeling and control of the displacement and force of the robot.

关键词： Training Technical requirements Bellows Actuators Force Prototypes Training data Pneumatic systems Stroke (medical condition) Robots

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Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age

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Nature Ecology & Evolution 2025年 1-12页

作者： Stephen Pringle Jessica C. Fisher Gail E. Austen Jake E. Bicknell Nicolas J. Deere Mohammad S. Farhadinia Charlie J. Gardner Richard A. Griffiths Daniel J. Ingram Matthew J. Struebig Natalie Yoh Zoe G. Davies Martin Dallimer Mark A. Goddard Katherine C. R. Baldock Miranda T. Prendergast-Miller Léni K. Le Goff Emma Hart Simón C. Smith Simon J. Langdale Sara-Adela Abad Marc Ancrenaz Fabio Angeoletto Fernando Auat Cheein Joseph J. Bailey Lindsay F. Banin Cristina Banks-Leite Aliyu S. Barau Reshu Bashyal Adam J. Bates Jon Bielby Serge Wich Christopher D. Williams Petra Bosilj Marc Hanheide Emma R. Bush Simon J. Butler Dan Carpenter Christopher F. Clements Antoine Cully Kendi F. Davies Brett A. Melbourne Michael Dodd Rosie Drinkwater Don A. Driscoll Guillaume Dutilleux Mads Dyrmann David P. Edwards Aisyah Faruk Richard Field Franziska Schrodt Robert J. Fletcher Chris W. Foster Richard Fox Richard M. Francksen Aldina M. A. Franco Alison M. Gainsbury Ioanna Giorgi Giovanni L. Masala Salua Hamaza Matt W. Hayward Marcus Hedblom Thorunn Helgason Sui P. Heon Kevin A. Hughes Edmund R. Hunt George Jackson-Mills Kelly Jowett Timothy H. Keitt Laura N. Kloepper Stephanie Kramer-Schadt Jim Labisko Frédéric Labrosse Jenna Lawson Nicolas Lecomte Ricardo F. de Lima Nick A. Littlewood Harry H. Marshall Lindsay C. Maskell Eleni Matechou Barbara Mazzolai Alistair McConnell Aslan Miriyev Eric Djomo Nana Alessandro Ossola Sarah Papworth Catherine L. Parr Ana Payo-Payo Gad Perry Nathalie Pettorelli Marcus Rowcliffe Rajeev Pillay Simon G. Potts Lan Qie Carl D. Soulsbury Persie Rolley-Parnell Stephen J. Rossiter Heather Rumble Jon P. Sadler Christopher J. Sandom Asiem Sanyal Sarab S. Sethi Adi Shabrani Robert Siddall Robbert P. H. Snep Margaret C. Stanley Philip A. Stephens P. J. Stephenson Matthew Studley Martin Svátek Gilbert Tang Nicholas K. Taylor Kate D. L. Umbers Robert J. Ward Patrick J. C. White Mark J. Whittingham Ibrahim B. Yakubu Syed A. R. Zaidi Anna Zmarz Joeri A. Zwerts Durrell Institute of Conservation and Ecology (DICE) School of Natural Sciences University of Kent Canterbury UK Centre for Environmental Policy Imperial College London London UK Department of Geography and Environmental Sciences Northumbria University Newcastle upon Tyne UK School of Computing Engineering and the Built Environment Edinburgh Napier University Edinburgh UK Synthotech Ltd Milner Court Hornbeam Square Harrogate UK Mechanical Engineering Department University College London London UK HUTAN SWD Kota Kinabalu Malaysia Programa de Pós-Graduação em Gestão e Tecnologia Ambiental da Universidade Federal de Rondonópolis Rondonópolis Brasil Department of Engineering Harper Adams University Newport UK Applied Ecology Research Group School of Life Sciences Anglia Ruskin University Cambridge UK Centre for Ecology and Hydrology Penicuik UK Department of Life Sciences Imperial College London Silwood Park Campus Ascot UK Department of Urban and Regional Planning Faculty of Earth and Environmental Sciences Bayero University Kano Nigeria Greenhood Nepal Kathmandu Nepal Animal Rural & Environmental Sciences Nottingham Trent University Nottinghamshire UK School of Biological and Environmental Sciences Liverpool John Moores University Liverpool UK Lincoln Centre for Autonomous Systems University of Lincoln Lincoln UK Royal Botanic Garden Edinburgh Edinburgh UK School of Biological Sciences University of East Anglia Norwich Research Park Norwich UK Digital Ecology Limited Bristol UK School of Biological Sciences University of Bristol Bristol UK Department of Computing Imperial College London London UK Department of Ecology and Evolutionary Biology University of Colorado Boulder CO USA Faculty of Science Technology Engineering and Mathematics (STEM) The Open University Walton Hall Milton Keynes UK Palaeogenomics Group Faculty of Veterinary Medicine Ludwig Maximilian University Munich Munich Germany School of Life and Environmental Sciences

With biodiversity loss escalating globally, a step change is needed in our capacity to accurately monitor species populations across ecosystems. Robotic and autonomous systems (RAS) offer technological solutions that may substantially advance terrestrial biodiversity monitoring, but this potential is yet to be considered systematically. We used a modified Delphi technique to synthesize knowledge from 98 biodiversity experts and 31 RAS experts, who identified the major methodological barriers that currently hinder monitoring, and explored the opportunities and challenges that RAS offer in overcoming these barriers. Biodiversity experts identified four barrier categories: site access, species and individual identification, data handling and storage, and power and network availability. robotics experts highlighted technologies that could overcome these barriers and identified the developments needed to facilitate RAS-based autonomous biodiversity monitoring. Some existing RAS could be optimized relatively easily to survey species but would require development to be suitable for monitoring of more ‘difficult’ taxa and robust enough to work under uncontrolled conditions within ecosystems. Other nascent technologies (for instance, new sensors and biodegradable robots) need accelerated research. Overall, it was felt that RAS could lead to major progress in monitoring of terrestrial biodiversity by supplementing rather than supplanting existing methods. Transdisciplinarity needs to be fostered between biodiversity and RAS experts so that future ideas and technologies can be codeveloped effectively.

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Robot Companions for Citizens

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Procedia Computer Science 2011年 7卷 47-51页

作者： Paolo Dario Paul F.M.J. Verschure Tony Prescott Gordon Cheng Giulio Sandini Roberto Cingolani Rüdiger Dillmann Dario Floreano Christophe Leroux Sheila MacNeil Pieter Roelfsema Xenophon Verykios Antonio Bicchi Chris Melhuish Alin Albu-Schäffer The BioRobotics Institute Scuola Superiore Sant’Anna viale Rinaldo Piaggio 34. 56025 Pontedera Italy Laboratory for Synthetic Perceptive Emotive and Cognitive Systems Catalan and Institute of Advanced Research (ICREA) Technology Department Universitat Pompeu Fabra Roc Boronat 138. 08018 Barcelona Spain Department of Psychology The University of Sheffield Western Bank Sheffield S10 2TN UK Institute for Cognitive Systems Technische Universität München Karlstrasse 45/II. 80333 München Germany Robotics Brain and Cognitive Sciences Istituto Italiano di Tecnologia Via Morego 30. 16163 Genova Italy Istituto Italiano di Tecnologia Via Morego 30. 16163 Genova Italy Institute for Anthropomatics Karlsruhe Institute of Technology Adenauerring 2 (Building 50.20). 76131 Karlsruhe Germany Laboratory of Intelligent Systems École polytechnique fédérale de Lausanne Station 11. CH-1015 Lausanne Switzerland CEA LIST Interactive Robotics Laboratory 18 route du panorama BP6. 92265 Fontenay Aux Roses cedex France The Kroto Research Institute North Campus University of Sheffield Broad Lane Sheffield S3 7HQ UK Netherlands Institute for Neuroscience Koninklijke Nederlandse Akademie Van Wetenschappen Meibergdreef 47. 1105 BA Amsterdam The Netherlands Department of Chemical Engineering University of Patras Karatheodoris 1 University Campus GR 265 00 Patras Interdepartmental Research Center “E. Piaggio” Faculty of Engineering University of Pisa via Diotisalvi 2.56100 Pisa Italy Department of Computing Engineering and Mathematical Sciences University of Bristol and the West of England Bristol Robotics Laboratory (BRL) DuPont Building Bristol Business Park Bristol BS16 1QD UK DLR Institute of Robotics and System Dynamics P.O.Box 1116. 82230 Wessling Germany

This paper describes the scientific vision and objectives of the FET Flagship candidate initiative Robot Companions for Citizens. Robot Companions will be a new generation of machines that will primarily help and assist elderly people in activities of daily living in their workplace, home and in society. They will be the ICT solution for a new sustainable welfare.

关键词： robotics nanotechnologies material science tissue engineering biomaerials neuroscience social neuroscience human and social sciences ethical and legal issues

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Measuring the distance and orientation of a planar surface using nonstructured lighting

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systems AND COMPUTERS IN JAPAN 1996年第8期27卷 83-92页

作者： Tsukiyama, T Member Electrotechnical Laboratory Tsukuba Japan 305 Tosbifumi Tsukiyama:graduated in 1972 from the Biological Engineering Department Osaka University where he also received his Dr. of Eng. degree. He joined Electrotechnical Laboratory Ministry of Tread and Industry (Japan) in 1972. At present he is Senior Researcher at Computer Vision Section Intelligent Systems Division ETL. He was a Visiting Researcher at University of Illinois during 1984–1985. He has been interested in vision system for mobile robots and image processing architectures. He is a member of the Society of Instrumental and Control Engineers Japan Robotics Society of Japan and Information Processing Society of Japan.

This paper proposes a method of 3-dimensional measurement of a planar surface by using two fixed light sources and a TV camera. A set of two images is recorded by the camera switching on each light alternately. The peak of the luminance distribution in each image is detected, and the orientation and distance of the planar surface are calculated. The position of the peak of a luminance distribution can be estimated accurately by using an image processing. The light sources can be conventional apparatus with no particular structure. The method is simple and suitable for a vision system on an indoor mobile robot.

关键词： distance to surface orientation of planar surface point light source luminance distribution ring light

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Co-Axial Slender Tubular robot (CAST): Towards Robotized Operation for Transorbital Neurosurgery with Minimal Invasiveness

Co-Axial Slender Tubular robot (CAST): Towards Robotized Ope...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Shuai Wang Qingxiang Zhao Jian Chen Mingcong Chen Guanglin Cao Jian Hu Runfeng Zhu Danny Tat Ming Chan Ming Feng Hongbin Liu centre for Artificial Intelligence and Robotics (CAIR) Hong Kong Institute of Science and Innovation Chinese Academy of Sciences CAIR and CASIA Department of Biomedical Engineering City University of Hong Kong HKSAR School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences (CASIA) Beijing China Department of Mechanical Engineering The Hong Kong Polytechnic University Department of Surgery The Chinese University of Hong Kong HKSAR Beijing Union Medical College Hospital

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Transorbital Neuro Surgery (TNS) offers a novel treatment towards the lesion inside skull pursuing minimal invasiveness. Most conventional TNS tools are rigid and straight, limiting the dexterity and accessibility in passing a small port. Bendable and steerable surgical tools provides an alternative for this issue. In this work, we proposed a dual-segment slender surgical robot arm for TNS, which is a Co-Axial Slender Tubular robot (CAST), and modelled it using novel approaches. Another contribution is tendon-mortise shaped slits along the axial direction, enhancing the overall stiffness. The bending of CAST is actuated by pushing/pulling distance, and the maximum diameter is only 1.7mm with high dexterity after mounting on a rigid robot arm. Experiments demonstrates that the proposed the slit design doubles the stiffness properties compared to traditional rectangle slit designs. The path-following task shows that the position error was maximally 3mm in open-looped control. Test on a skull model demonstrates that the whole system could successfully perform electrocoagulation procedure inside the depth of skull in a robotized manner effectively.

关键词： Medical robotics Limiting Instruments Robot vision systems Kinematics Manipulators Neurosurgery

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Grand Challenges in the Verification of Autonomous systems

arXiv

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arXiv 2024年

作者： Leahy, Kevin Asgari, Hamid Dennis, Louise A. Feather, Martin S. Fisher, Michael Ibanez-Guzman, Javier Logan, Brian Olszewska, Joanna I. Redfield, Signe Robotics Engineering Department Worcester Polytechnic Institute WorcesterMA United States Complex and Autonomous Systems Research Group Thales UK Research Reading United Kingdom Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Department of Computer Science University of Manchester Manchester United Kingdom Renault Guyancourt France Department of Computing Science University of Aberdeen Aberdeen United Kingdom Department of Information and Computing Sciences Utrecht University Utrecht Netherlands School of Computing and Engineering University of the West of Scotland Glasgow United Kingdom U.S. Naval Research Laboratory WashingtonDC United States

Autonomous systems use independent decisionmaking with only limited human intervention to accomplish goals in complex and unpredictable environments. As the autonomy technologies that underpin them continue to advance, these systems will find their way into an increasing number of applications in an ever wider range of settings. If we are to deploy them to perform safety-critical or mission-critical roles, it is imperative that we have justified confidence in their safe and correct operation. Verification is the process by which such confidence is established. However, autonomous systems pose challenges to existing verification practices. This paper highlights viewpoints of the Roadmap Working Group of the IEEE robotics and Automation Society Technical Committee for Verification of Autonomous systems, identifying these grand challenges, and providing a vision for future research efforts that will be needed to address them. © 2024, CC BY.

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