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15th Annual Conference on Advances in Autonomous robotics systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

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Emotion analysis of children's stories with context information

Emotion analysis of children's stories with context informat...

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Zhengchen Zhang Minghui Dong Shuzhi Sam Ge Human Language Technology Department Institute for Infocomm Research (I2R) A *STAR Singapore Robotics Institute University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering and Social Robotics Laboratory National University of Singapore Singapore

ISBN: (纸本)9781479942503

In this paper, we analyse the emotion of children's stories in sentence level by considering the context information. We demonstrate that the emotion of a sentence is not only dependent on its content, but also affected by its neighbours in a story. A Hidden Markov Model (HMM) based method is proposed to model the emotion sequence and to detect whether a sentence is neutral or not. We show the important features for emotion detection by studying a children's story corpus. An empirical evaluation is conducted to investigate the efficiency of the model. The results demonstrate that the proposed method can achieve competitive performance with the state-of-the-art methods, and it is affected more slightly by the training set than traditional classification methods. Classifier fusion is applied to combine different methods to achieve better results.

关键词： Hidden Markov models Training Accuracy Support vector machines Testing Feature extraction Context

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Utilizing Graphics Processing Units for rapid facial recognition using video input

Utilizing Graphics Processing Units for rapid facial recogni...

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IEEE Conference on High Performance Extreme Computing (HPEC)

作者： Charles Gala Raj Acharya Bruce Einfalt Department of Computer Science and Engineering Pennsylvania State University State College Pennsylvania USA Embedded Systems and Technology Applied Research Laboratory State College Pennsylvania USA

We propose a facial recognition method that is implemented utilizing a Graphics Processing Unit (GPU) to accelerate the processing time for a single frame of an input video sequence. When working with live streaming data, the processing speed that a particular frame is processed is a significant factor. A fast processing speed is necessary so that a recognition method can keep up with the frame rate of the video sequence. GPU computing is an ideal method to accelerate recognition processing. By implementing components of a facial recognition method on a Tesla C2050 GPU, we achieve a method that runs up to six times faster than a pure CPU implementation of the method. We evaluate these implementations using live streaming data and find that the GPU implementation achieves a greater accuracy and performance over the CPU implementation.

关键词： Graphics processing units Acceleration Video sequences Face recognition Runtime Tracking computer vision

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Social Adaptation of Robots for Modulating Self-Organization in Animal Societies

Social Adaptation of Robots for Modulating Self-Organization...

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IEEE International Conference on Self-Adaptive and Self-Organizing systems Workshops, SASOW

作者： Payam Zahadat Michael Bodi Ziad Salem Frank Bonnet Marcelo Elias De Oliveira Francesco Mondada Karlo Griparic Tomislav Haus Stjepan Bogdan Rob Mills Pedro Mariano Luis Correia Olga Kernbach Serge Kernbach Thomas Schmickl Artificial Life Laboratory of the Department of Zoology Karl-Franzens University Graz Austria Computer Engineering Department Aleppo University Syrian Arab Republic Rbotic Systems Laboratory Swiss Federal Institute of Technology (EPFL) Lausanne Switzerland Ecole Polytechnique Federale de Lausanne Lausanne VD CH Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems Zagreb Croatia Universidade de Lisboa Lisboa Lisboa PT Cybertronica Research Research Center of Advanced Robotics and Environmental Science Stuttgart Germany

The goal of the work presented here is to influence the overall behaviour of specific animal societies by integrating computational mechatronic devices (robots) into those societies. To do so, these devices should be accepted by the animals aspart of the society and/or as part of the collectively formed environment. For that, we have developed two sets of robotic hardware for integrating into societies of two different animals: zebra fish and young honeybees. We also developed mechanisms to provide feedback from the behaviours of societies for the controllers of the robotic system. Two different computational methods are then used as the controllers of the robots in simulation and successfully adapted by evolutionary algorithms to influence the simulated animals for desired behaviours. Together, these advances in mechatronic hardware, feedback mechanisms, and controller methodology are laying essential foundations to facilitate experiments on modulating self-organised behaviour in mixed animal -- robot societies.

关键词： Animals Heating Vibrations Robot sensing systems Hardware Biochemistry

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Predicting the Speed of a Wave Glider Autonomous Surface Vehicle from Wave Model Data

Predicting the Speed of a Wave Glider Autonomous Surface Veh...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Phillip Ngo Jnaneshwar Das Jonathan Ogle Jesse Thomas Will Anderson Ryan N. Smith School of Electrical Engineering and Computer Science Queensland University of Technology Brisbane QLD 4001 Australia Robotic Embedded Systems Laboratory University of Southern California Los Angeles CA USA Physics and Engineering Department Fort Lewis College Durango CO USA Liquid Robotics Inc. Sunnyvale CA USA

ISBN: (纸本)9781479969357

A key component of robotic path planning for monitoring dynamic events is reliable navigation to the right place at the right time. For persistent monitoring applications (e.g., over months), marine robots are beginning to make use of the environment for propulsion, instead of depending on traditional motors and propellers. These vehicles are able to realize dramatically higher endurance by exploiting wave and wind energy, however the path planning problem becomes difficult as the vehicle speed is no longer directly controllable. In this paper, we examine Gaussian process models to predict the speed of the Wave Glider autonomous surface vehicle from observable environmental parameters. Using training data from an on-board sensor, and wave parameter forecasts from the WAVEWATCH III model, our probabilistic regression models create an effective method for predicting Wave Glider speed for use in a variety of path planning applications.

关键词： Ground vehicles Path planning Vehicle speed speed Crucial components A wave

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Design of variable-damping control for prosthetic knee based on a simulated biped

Design of variable-damping control for prosthetic knee based...

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2013 IEEE 13th International Conference on Rehabilitation robotics, ICORR 2013

作者： Zhao, Jie Berns, Karsten De Souza Baptista, Roberto Bo, Antonio Padilha L. Robotics Research Lab Department of Computer Science TU Kaiserslautern Kaiserslautern Germany Automation and Robotics Laboratory Unversity of Brasília Brasília Brazil

ISBN: (纸本)9781467360241

This paper presents the development of a variable-damping controller for a prosthetic knee using a simulated biped in a virtual environment before real tests are conducted on humans. The simulated biped incorporates several features of human walking, such as functional morphology, exploitation of inherent dynamics, hierarchical control network, combination of feed-forward and feedback controllers and phase-dependent modulation. Based on this virtual model of human walking, we have studied biomechanical aspects of the knee joint during walking. Observing the damping profile developed by the simulated biped throughout a gait cycle, we designed a controller for the knee joint. This controller has been evaluated on a modified version of the simulated biped, in which the model of a real prosthetic leg was incorporated. Results of such experiments for walking on flat and rough terrains have provided satisfactory outputs, including improved robustness. © 2013 IEEE.

关键词： Controllers

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An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle

An analysis of regression models for predicting the speed of...

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2013 Australasian Conference on robotics and Automation, ACRA 2013

作者： Ngo, Phillip Al-Sabban, Wesam Thomas, Jesse Anderson, Will Das, Jnashewar Smith, Ryan N. Electrical Engineering and Computer Science Queensland University of Technology BrisbaneQLD Australia Liquid Robotics Inc. Sunnyvale SunnyvaleCA United States Robotics Embedded Systems Laboratory University of Southern California Los AngelesCA United States Physics and Engineering Department Fort Lewis College DurangoCO United States

ISBN: (纸本)9780980740448

An important aspect of robotic path planning for is ensuring that the vehicle is in the best location to collect the data necessary for the problem at hand. Given that features of in- terest are dynamic and move with oceanic cur- rents, vehicle speed is an important factor in any planning exercises to ensure vehicles are at the right place at the right time. Here, we examine different Gaussian process models to find a suitable predictive kinematic model that enable the speed of an underactuated, au- tonomous surface vehicle to be accurately pre- dicted given a set of input environmental pa-rameters.

关键词： Motion planning

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Tool-assisted verification of behaviour networks

Tool-assisted verification of behaviour networks

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IEEE International Conference on robotics and Automation (ICRA)

作者： Christopher Armbrust Lisa Kiekbusch Thorsten Ropertz Karsten Berns Robotics Research Laboratory Department of Computer Science University of Kaiserslautern Kaiserslautern Germany

ISBN: (纸本)9781467356404

This paper deals with the problem of assisting developers when verifying properties of complex behaviour-based systems. A central aspect of behaviour-based systems is the interaction between the behaviours, as a lot of the functionality of a system typically arises from this interaction. Hence, verification has to deal with the specialities of behaviour interaction. Previous work has introduced a concept for modelling behaviour-based systems as networks of finite-state automata and for applying model checking as verification technique. As the manual verification of large networks is tedious and errorprone, the work at hand introduces a concept for assisting developers by partly automating the verification process. The applicability of the presented approach is demonstrated using the behaviour-based control system of an autonomous bucket excavator.

关键词： Robots Guidelines

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Design of Variable-Damping Control for Prosthetic Knee based on a Simulated Biped

Design of Variable-Damping Control for Prosthetic Knee based...

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IEEE International Conference on Rehabilitation robotics

作者： Jie Zhao Karsten Berns Roberto de Souza Baptista Antonio Padilha L. Bó Robotics Research Lab Department of Computer Science TU Kaiserslautern Kaiserslautern Germany Automation and Robotics Laboratory Unversity of Brasília Brasilia Brazil

ISBN: (纸本)9781467360210

关键词： Design Variable-Damping Control

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ESICM LIVES 2016: part one Milan, Italy. 1-5 October 2016 Abstracts

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INTENSIVE CARE MEDICINE EXPERIMENTAL 2016年第SUPPL 1期4卷 1-1页

作者： [Anonymous] Academic Medical Center University of Amsterdam Amsterdam Netherlands UMCU Utrecht Netherlands Autonomous University of Barcelona Barcelona Spain Hospital São Francisco Xavier Lisbon Portugal CHU Henri Mondor Medical ICU Créteil France Université de Paris Est-Créteil Groupe de Recherche Clinique CARMAS Créteil France Hôpital Tenon APHP Medical and Surgical ICU Paris France Université Paris Diderot Sorbonne Paris Cité UMR 1153 Paris France Interdepartmental Division of Critical Care University of Toronto Toronto Canada University Health Network University of Toronto Critical Care Medicine Toronto Canada University of Milan - Bicocca Health Sciences School of Medicine and Surgery Monza Italy St Michael’s Hospital University of Toronto Anesthesia Toronto Canada CHU d’Angers Medical ICU Angers France Interdepartmental Division of Critical Care University of Toronto Saint Michael’s Hospital and Keenan Research Centre Toronto Canada University of Birmingham Institute for Inflammation and Ageing Birmingham UK University of Sheffield Mathematics and Statistics Help Centre Sheffield UK Heart of England NHS Foundation Trust Intensive Care Medicine Birmingham UK Department of Surgery University Hospitals Birmingham NHS Trust Birmingham UK University Hospitals Birmingham NHS Trust Anaesthesia and Critical Care Medicine Birmingham UK Queen’s University of Belfast Wellcome-Wolfson Institute for Experimental Medicine Belfast UK Royal Victoria Hospital Intensive Care Medicine Belfast UK University of Warwick Warwick Clinical Trials Unit Coventry UK University of Bari ‘Aldo Moro’ Bari Italy Hospital Israelita Albert Einstein São Paulo Brazil Mayo Clinic Jacksonville USA Mahidol University Faculty of Tropical Medicine Bangkok Thailand University Medical Center Utrecht Intensive Care Utrecht Netherlands University Medical Center Utrecht Julius Center for Health Sciences and Primary Care Utrecht Netherlands Academic Medical Center University of Amste

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