{"title":"Adaptive robot formations using fast marching square working under uncertainty conditions","authors":"Javier V. Gómez, S. Garrido, L. Moreno","doi":"10.1109/ARSO.2011.6301961","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301961","url":null,"abstract":"Robot formations are getting important since they can develop tasks that only one robot could not do or could take too much time. Also, they can perform some tasks better than humans. This paper provides a new algorithm to control robot formations working under uncertainty conditions such as errors in robot positions, errors when sensing obstacles or walls, etc. The proposed approach provides a robust solution based on leader-followers architecture (real or virtual leaders) with a prescribed geometry of the formation and it adapts dynamically to the environment. The algorithm applies the Fast Marching Square (FM2) method to the path planning of mobile robot formations, which have been proved to work fast and efficiently. The FM2 method is a potential based path planning method with no local minima which provides smooth and safe trajectories. The algorithm described here allows to easily set different behaviours to the formation during its motion depending on the objectives, being possible to set its flexibility. The results presented here show that using this method allows to the formation reacting to either static and dynamic obstacles with an easily changeable behaviour.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133721471","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}
J. Hertzberg, T. Wiemann, Sven Albrecht, Martin Günther, K. Lingemann, Florian Otte, Stephan Scheuren, T. Schüler, Jochen Sprickerhof, Stefan Stiene
{"title":"On the impact of embedded knowledge-based systems","authors":"J. Hertzberg, T. Wiemann, Sven Albrecht, Martin Günther, K. Lingemann, Florian Otte, Stephan Scheuren, T. Schüler, Jochen Sprickerhof, Stefan Stiene","doi":"10.1109/ARSO.2011.6301980","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301980","url":null,"abstract":"Autonomous mobile robots are well visible both in science and in popular media. Significant progress has been made lately in that branch of robotics in all involved aspects of science, technology and engineering. Interesting studies and forecasts have been made how robots, based on the science and technology of mobile robotics, have started to become parts of our lives and will increasingly do so in the future. However, we think that the fascination with the idea of robots - preferably humanoid ones - both in science and in the public has been outshining the topic that is actually making the impact on society here: The science and technology behind these advanced robots, in particular embedded knowledge-based systems (EKBSs). So the question about the societal impact of robotics is actually the question of the impact of EKBSs.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121923998","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":"Seeing with your hands: A better way to obtain perception capabilities with a personal robot","authors":"C. Potthast, G. Sukhatme","doi":"10.1109/ARSO.2011.6301956","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301956","url":null,"abstract":"For validation and to visualize the advantage of using an in hand Kinect sensor we are using the PR2 robot to observe a cluttered tabletop environment, as shown in Fig. 4. We assume the robot has to remain stationary, since positions around the table are not accessible to the robot. To show the advantage of an in hand camera we conduct two observation attempts, one with only the head mounted Kinect sensor and the other with the Kinect sensor held in the robots right gripper. The motion of the head mounted Kinect sensor is restricted by a pan/tilt joint, while the in hand sensor can be positioned in the entire manipulator workspace. The result of the observed environment, represented as an occupancy grid, using only the head mounted Kinect can be seen in Fig. 5a. The head mounted Kinect was able to observe 87% of the scene, however substantial parts of the space are still unobserved. In comparison, by using the in hand sensor the robot is able to observe 97% of the environment. We can see that the in hand camera increases observation ability of the robot, which in turn decreases the unobserved space by 10%. Objects previously unobserved and hidden are visible due to the increase in possible sensor positions which is especially critical for manipulation tasks, collision avoidance, object search and so on.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125464502","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}
Yoshito Ito, Junichi Urata, Y. Nakanishi, K. Okada, M. Inaba
{"title":"Design and development of shock absorbable tendon driven ankles for high-powered humanoids","authors":"Yoshito Ito, Junichi Urata, Y. Nakanishi, K. Okada, M. Inaba","doi":"10.1109/ARSO.2011.6301958","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301958","url":null,"abstract":"High-powerd humanoid robots may move at a high speed in the same environment as human. When they receive shocks suddenly, instantaneous impact is applied to the structure of the feet and they can be broken. So, robots require shock-reduction mechanisms at the ankles. In this paper, we present one-legged robot with its ankle mechanism which can reduce landing impact by using a spring elastic element. We describe the mechanical structure and the relationship between mechanical structures and shocks. We verifie such a relation and checked that our proposed leg is effective.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125084687","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}
R. Sheh, Tetsuya Kimura, E. Mihankhah, J. Pellenz, S. Schwertfeger, J. Suthakorn
{"title":"The RoboCupRescue robot league: Guiding robots towards fieldable capabilities","authors":"R. Sheh, Tetsuya Kimura, E. Mihankhah, J. Pellenz, S. Schwertfeger, J. Suthakorn","doi":"10.1109/ARSO.2011.6301977","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301977","url":null,"abstract":"The RoboCupRescue Robot League is an international competition where teams from all over the world compete against an arena that allows them to demonstrate their advanced robotic capabilities for emergency response applications. The league is also a community that works together to advance the state-of-the-art towards improving performance and the standards that help quantify this performance. In this paper, we present the current state of the competition, its links to the wider standardization process and how it is guiding robots towards fieldable capabilities.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131965547","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":"Practical object recognition in autonomous driving and beyond","authors":"Alex Teichman, S. Thrun","doi":"10.1109/ARSO.2011.6301978","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301978","url":null,"abstract":"This paper is meant as an overview of the recent object recognition work done on Stanford's autonomous vehicle and the primary challenges along this particular path. The eventual goal is to provide practical object recognition systems that will enable new robotic applications such as autonomous taxis that recognize hailing pedestrians, personal robots that can learn about specific objects in your home, and automated farming equipment that is trained on-site to recognize the plants and materials that it must interact with. Recent work has made some progress towards object recognition that could fulfill these goals, but advances in model-free segmentation and tracking algorithms are required for applicability beyond scenarios like driving in which model-free segmentation is often available. Additionally, online learning may be required to make use of the large amounts of labeled data made available by tracking-based semi-supervised learning.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125219286","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":"On the development of dependable intelligent systems","authors":"G. Biggs, Y. Nakabo, T. Kotoku, K. Ohba","doi":"10.1109/ARSO.2011.6301973","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301973","url":null,"abstract":"With the increasing presence of intelligent systems such as robots in our everyday lives, the risk of a failure in one of these machines causing injury to someone is growing. No longer can we rely on training and fenced-off work cells to provide safety. Instead, we must consider other approaches to producing dependable intelligent systems. This includes revising how we design intelligent systems and considering the adoption of certification schemes. In this article, we propose using a modeling language, dubbed SafeML, for the design of safety-conscious and dependable intelligent systems.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127660145","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}
R. Kümmerle, G. Grisetti, C. Stachniss, Wolfram Burgard
{"title":"Simultaneous parameter calibration, localization, and mapping for robust service robotics","authors":"R. Kümmerle, G. Grisetti, C. Stachniss, Wolfram Burgard","doi":"10.1109/ARSO.2011.6301963","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301963","url":null,"abstract":"Modern service robots are designed to be deployed by end-users and not to be monitored by experts during operation. Most service robotics applications require reliable navigation capabilities of the robot. The calibration parameters of a mobile robot play a substantial role in navigation tasks. Often these parameters are subject to variations that depend either on environmental changes or on the wear of the devices. In this paper, we propose an approach to simultaneously estimate a map of the environment, the position of the onboard sensors of the robot, and its kinematic parameters. Our method requires no prior knowledge about the environment and relies only on a rough initial guess of the platform parameters. The proposed approach performs on-line estimation of the parameters and it is able to adapt to non-stationary changes of the configuration. Our approach has been implemented and is used on the EUROPA robot, a service robot operating in urban environments. In addition to that, we tested our approach in simulated environments and on a wide range of real world data using different types of robotic platforms.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122528568","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. Ruhnke, R. Kümmerle, G. Grisetti, Wolfram Burgard
{"title":"Range sensor based model construction by sparse surface adjustment","authors":"M. Ruhnke, R. Kümmerle, G. Grisetti, Wolfram Burgard","doi":"10.1109/ARSO.2011.6301981","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301981","url":null,"abstract":"In this paper, we propose an approach to construct highly accurate 3D object models from range data. The main advantage of sensor based model acquisition compared to manual CAD model construction is the short time needed per object. The usual drawbacks of sensor based model reconstruction are sensor noise and errors in the sensor positions which typically lead to less accurate models. Our method drastically reduces this problem by applying a physical model of the underlying range sensor and utilizing a graph-based optimization technique. We present our approach and evaluate it on data recorded in different real world environments with an RGBD camera and a laser range scanner. The experimental results demonstrate that our method provides more accurate maps than standard SLAM methods and that it additionally compares favorable over the moving least squares method.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130577402","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}
Duckjune Kim, Kwang-Hee Lee, S. Ji, W. Shon, Youngsoo Kim
{"title":"Development of a medical robot system for pedicle screw surgery assisted by fluoroscopic X-ray image","authors":"Duckjune Kim, Kwang-Hee Lee, S. Ji, W. Shon, Youngsoo Kim","doi":"10.1109/ARSO.2011.6301959","DOIUrl":"https://doi.org/10.1109/ARSO.2011.6301959","url":null,"abstract":"Converging robot technology into medical applications allowed surgeons to achieve accurate and enhanced surgical results. In laparoscopic surgery, da Vinci system consisting of master and slave robot system allows to perform operation more precisely. In fluoroscopic surgery, C-arm systems are widely used to monitor status of patient instantly during the operation. However, one of the drawbacks of the C-arm system is that surgeons are consistently exposed to X-ray radiation. This radiation exposure can be harmful to surgeons having hundreds of surgeries a year. In this paper, a system consisting of master-slave robot, imaging robot and operation bed for pedicle screw surgery is proposed. Also, its control hardware architecture and algorithm are proposed. Proposed system is validated via simulation environment.","PeriodicalId":276019,"journal":{"name":"Advanced Robotics and its Social Impacts","volume":"250 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113982667","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}