Daniel R. Freer, K. Leibrandt, Piyamate Wisanuvej, Jindong Liu, Guang-Zhong Yang
{"title":"Preliminary Evaluation of the Workspace for Upper Limb Robotic Rehabilitation with 3-Dimensional Reaching Tasks","authors":"Daniel R. Freer, K. Leibrandt, Piyamate Wisanuvej, Jindong Liu, Guang-Zhong Yang","doi":"10.31256/ukras17.30","DOIUrl":"https://doi.org/10.31256/ukras17.30","url":null,"abstract":"","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bio-Inspired Path Planning for UAVs in Urban Environments","authors":"J. Williamson, A. Spelt, E. Shepard, S. Windsor","doi":"10.31256/ukras17.11","DOIUrl":"https://doi.org/10.31256/ukras17.11","url":null,"abstract":"","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124371780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Karam Safarov, Thomas E. Kent, E. Wilson, A. Pipe, Arthur G. Richards
{"title":"The impact of autonomous vehicles on traffic capacity at an intersection","authors":"Karam Safarov, Thomas E. Kent, E. Wilson, A. Pipe, Arthur G. Richards","doi":"10.31256/ukras17.47","DOIUrl":"https://doi.org/10.31256/ukras17.47","url":null,"abstract":"","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116651264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigation Testing for Continuous Integration in Robotics","authors":"J. P. Fentanes, C. Dondrup, Marc Hanheide","doi":"10.31256/UKRAS17.45","DOIUrl":"https://doi.org/10.31256/UKRAS17.45","url":null,"abstract":"Robots working in real-world applications need to be robust and reliable. However, ensuring robust software in an academic development environment with dozens of developers poses a significant challenge. This work presents a testing framework, successfully employed in a large-scale integrated robotics project, based on continuous integration and the fork-and-pull model of software development, implementing automated system regression testing for robot navigation. It presents a framework suitable for both regression testing and also providing processes for parameter optimisation and benchmarking.","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124990583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Silicone-based ultra-stretchable strain sensors","authors":"F. Putzu, K. Althoefer, L. Manfredi","doi":"10.31256/UKRAS17.46","DOIUrl":"https://doi.org/10.31256/UKRAS17.46","url":null,"abstract":"","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126976870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Ali, A. Calanca, J. Konstantinova, P. Fiorini, K. Althoefer
{"title":"Variable series elastic link: Advancing stiffness controllability in robot manipulators","authors":"A. Ali, A. Calanca, J. Konstantinova, P. Fiorini, K. Althoefer","doi":"10.31256/ukras17.14","DOIUrl":"https://doi.org/10.31256/ukras17.14","url":null,"abstract":"In an ageing population the need for assistive robotics has a great potential to address issues around the increasing demand for nursing and caregiving. Areas that robots may play a role are in helping with the activities of daily living (ADL) and dressing is the focus of this paper. Successful integration of these robots into society will require careful consideration of factors such as safety and interaction. We believe that these systems should be able to predict the user’s intention for maximum safety and task efficiency. Using data collected from human-human interaction (HHI) experiments, features were prepared and assessed for importance and models were trained to classify the dressing task segment and which end effector to move; left, right or both simultaneously. Long short term-memory networks (LSTM) were explored to predict these outcomes one timestep ahead. The networks were assessed against a variety of hyper-parameters including the depth of the hidden layers. The models show promise for correctly classifying task segment based on user pose, with the best test accuracy >95%.","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127399837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design, Implementation and Experimental Evaluation of an IrisTK- Based Deliberative-Reactive Control Architecture for Semi-Autonomous Child-Robot Interaction in the Real- World Settings","authors":"A. Zaraki, L. Wood, B. Robins, K. Dautenhahn","doi":"10.31256/ukras17.54","DOIUrl":"https://doi.org/10.31256/ukras17.54","url":null,"abstract":"","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133122041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proof-of-Concept Swarm of Self- Organising Drones Aimed at Fighting Wildfires","authors":"M. Innocente, Paolo Grasso","doi":"10.31256/ukras17.33","DOIUrl":"https://doi.org/10.31256/ukras17.33","url":null,"abstract":"","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127376832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Heshmat, M. Fernández-Carmona, Zhi Yan, N. Bellotto
{"title":"Active Human Detection with a Mobile Robot","authors":"M. Heshmat, M. Fernández-Carmona, Zhi Yan, N. Bellotto","doi":"10.31256/ukras17.32","DOIUrl":"https://doi.org/10.31256/ukras17.32","url":null,"abstract":"The problem of active human detection with a mobile robot equipped with an RGB-D camera is considered in this work. Traditional human detection algorithms for indoor mobile robots face several challenges, including occlusions due to cluttered dynamic environments, changing backgrounds, and large variety of human movements. Active human detection aims to improve classic detection systems by actively selecting new and potentially better observation points of the person. In this preliminary work, we present a system that actively guides a mobile robot towards high-confidence human detections, including initial simulation tests that highlight pros and cons of the proposed approach.","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127146908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dry versus Wet EEG electrode systems in Motor Imagery Classification","authors":"I. Domingos, F. Deligianni, Guang-Zhong Yang","doi":"10.31256/ukras17.24","DOIUrl":"https://doi.org/10.31256/ukras17.24","url":null,"abstract":"Inês Domingos , Fani Deligianni 1 and Guang-Zhong Yang 1 The Hamlyn Centre for Robotic Surgery, Imperial College London, UK Abstract Motor imagery (MI) classification performance is important in developing robust brain computer interface environments for neuro-rehabilitation of patients and robotic prosthesis control. To bring this technology to everyday use relatively new EEG acquisition systems have been developed. These systems are highly portable, wireless and they are based on dry, active electrodes, which does not require the use of conductive gel. As a result they are more prone to interference via noise sources that are commonly around and their signal-to-noise ratio may be low. Here, we device a number of motor imagery tasks along with actual movements of the limbs and compare the classification performance of a dry 16-channel and a wet, 32channel, wireless EEG system. Our results demonstrate the feasibility of home use of dry electrode systems with a small number of sensors.","PeriodicalId":392429,"journal":{"name":"UK-RAS Conference: Robots Working For and Among Us Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}