Bjoern Rennhak, Takaaki Shiratori, S. Kudoh, Phongtharin Vinayavekhin, K. Ikeuchi
{"title":"Detecting dance motion structure using body components and turning motions","authors":"Bjoern Rennhak, Takaaki Shiratori, S. Kudoh, Phongtharin Vinayavekhin, K. Ikeuchi","doi":"10.1109/IROS.2010.5649303","DOIUrl":"https://doi.org/10.1109/IROS.2010.5649303","url":null,"abstract":"This paper presents a novel method for robust dance motion structure detection. In the japanese folk dance domain, teachers created illustrations of dance poses. These poses characterize the most important movements of a dance. So far there is no simple and reliable extraction method which can extract all poses as shown in these drawings. We use these poses for the Task Model (TM) in the context of Learning from Observation (LFO). LFO which is a well known technique for successful human to robot motion mapping, consists of tasks (what to do) and skills (how to do). We propose a novel approach, to extract special motions from a dance, called turning motions useful for skill mapping in the LFO paradigm. Furthermore, we use a modified version of this approach, to detect all poses as shown in the drawings, called turning poses. To achieve this we observe both forearms at the same time and analyze their movement in different 2-D coordinate planes. We evaluate the parameters with and without a weighting function where we minimize acceleration, velocity and power. We successfully demonstrate this novel method using two very different japanese folk dances and discuss further implications of this work in respect to the LFO paradigm and dances of other domains.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125519069","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":"Development of a ball drive unit using partially sliding rollers — An alternative mechanism for semi-omnidirectional motion —","authors":"M. Kumagai","doi":"10.1109/IROS.2010.5651007","DOIUrl":"https://doi.org/10.1109/IROS.2010.5651007","url":null,"abstract":"There are several works on mobile robots that employed a single ball as their wheel. Each of them used a kind of inverted pendulum control and a specific ball drive mechanism. The requirement for the mechanism is to roll the ball in two orthogonal directions for maintaining robot attitude and traveling on a two dimensional surface. In addition to these rolling motions, rotation around a vertical axis is useful for turning the robot body. The author developed robots that used wheels for omnidirectional motion of the ball in previous works. However, the wheel was complex to produce in large quantities and expensive. The purpose of the work described in this paper is to develop a new simpler mechanism with drivability almost comparable to previous driving mechanism but lower in cost. The idea of a roller with semi-passive features and a ball drive mechanism are described as well as experimental results using a robot with the proposed mechanism.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126643915","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":"A novel rehabilitation system supporting bilateral arm cooperative training","authors":"Chunguang Li, Y. Inoue, Tao Liu, K. Shibata","doi":"10.1109/IROS.2010.5649428","DOIUrl":"https://doi.org/10.1109/IROS.2010.5649428","url":null,"abstract":"Numerous rehabilitation robots have been developed to deliver therapy for hemiplegic patients with a unilateral-disabled limb or for aged persons with motor-function degenerated limbs. Recently, much attention has been paid to the development of robots that support bilateral arm training in various patterns. It has been proved that the coordination of two limbs can reduce hypertonia and abnormal synergies compared to unilateral limb training. However, traditional robots realized different modes with the robot providing a corresponding force for the impaired limb. This paper proposes a novel bimanual training system. A subject controls master and slave terminal handles with his/her two limbs. The less impaired limb provides a corresponding force for the more impaired limb to achieve different training patterns. No matter in which mode, the two limbs accomplish symmetric movement. An experimental prototype was built. Frequency response test and training tests on 9 healthy subjects in active-resisted and active-assisted modes were performed. Experimental results confirm that the system can correctly respond a subject's commands if velocity was changed within the frequency range of 30 Hz. For each training mode, the average position error, and RMS (root mean square) values of position errors and velocity errors that between the reference values and actual values of a motion tracking task were reduced after practice. This proves the effectiveness of the system for self-assisted rehabilitation training.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126838829","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}
Rolland-Michel Assoumou Nzue, J. Brethé, E. Vasselin, D. Lefebvre
{"title":"Comparative analysis of the repeatability performance of a serial and parallel robot","authors":"Rolland-Michel Assoumou Nzue, J. Brethé, E. Vasselin, D. Lefebvre","doi":"10.1109/IROS.2010.5651431","DOIUrl":"https://doi.org/10.1109/IROS.2010.5651431","url":null,"abstract":"The paper proposes a new procedure to compare the repeatability of serial and parallel robots based on the stochastic ellipsoid theory. The ISO9283 position repeatability index is estimated but also other performance criteria built upon the stochastic ellipsoid geometrical characteristics. The choice of the best comparison criterion is investigated and different solutions are proposed, associated with the task specificity. For each criterion, maps are built to determine the set of workspace points where the serial robot is better than the parallel robot. The ratio of the workspace surface where one robot is better than the other is computed and the results are analysed. Contrary to the common opinion that parallel robots are more accurate than serial robots, we prove here that the repeatability performance depends mainly on the chosen performance criterion. Another result found is that the considered R̲RRRR̲ parallel robot keeps the same repeatability in all its workspace.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126903369","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}
Claire Dumas-Lecerf, S. Caro, M. Chérif, S. Garnier, B. Furet
{"title":"A methodology for joint stiffness identification of serial robots","authors":"Claire Dumas-Lecerf, S. Caro, M. Chérif, S. Garnier, B. Furet","doi":"10.1109/IROS.2010.5652140","DOIUrl":"https://doi.org/10.1109/IROS.2010.5652140","url":null,"abstract":"This paper presents a new methodology for joint stiffness identification of serial robots. This methodology aims at evaluating all joint stiffness values responsible for both translational and rotational displacements of the robot end-effector subject to an external wrench (force and torque). The links of the robot are supposed to be quite stiffer than the joints and not known as it is usually the case with industrial serial robots. The robustness of the identification method and the sensitivity of the results to measurement errors and number of experimental tests are also analyzed. The Kuka KR240-2 robot is used as an illustrative example through the paper.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114887620","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":"Stereo vision based swing angle sensor for mining rope shovel","authors":"Li-Heng Lin, P. Lawrence, R. A. Hall","doi":"10.1109/IROS.2010.5650457","DOIUrl":"https://doi.org/10.1109/IROS.2010.5650457","url":null,"abstract":"An easily retrofittable stereo vision based system for quick and temporary measurement of a mining shovel's swing angle is presented. The stereo camera is mounted externally to the upper swingable shovel house, with a clear view of the shovel's lower carbody. As the shovel swings from its 0° swing angle position, the camera revolves with the shovel house, seeing differing views of the carbody. In real-time, the camera position is tracked, which in turn is used to calculate the swing angle. The problem was solved using the Simultaneous Localization and Mapping (SLAM) approach in which the system learns a map of 3D features on the carbody while using the map to determine the camera pose. The contribution includes a locally maximal Harris corner selection technique and a novel use of 3D feature clusters as landmarks, for improving the robustness of visual landmark matching in an outdoor environment. Results show that the vision-based sensor has a maximum error of +/− 1° upon map convergence.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115510374","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}
Dejan Pangercic, Moritz Tenorth, Dominik Jain, M. Beetz
{"title":"Combining perception and knowledge processing for everyday manipulation","authors":"Dejan Pangercic, Moritz Tenorth, Dominik Jain, M. Beetz","doi":"10.1109/IROS.2010.5651006","DOIUrl":"https://doi.org/10.1109/IROS.2010.5651006","url":null,"abstract":"This paper describes and discusses the K-COPMAN (Knowledge-enabled Cognitive Perception for Manipulation) system, which enables autonomous robots to generate symbolic representations of perceived objects and scenes and to infer answers to complex queries that require the combination of perception and knowledge processing. Using K-COPMAN, the robot can solve inference tasks such as identifying items that are likely to be missing on a breakfast table. To the programmer K-COPMAN, is presented as a logic programming system that can be queried just like a symbolic knowledge base. Internally, K-COPMAN is realized through a data structure framework together with a library of state-of-the-art perception mechanisms for mobile manipulation in human environments. Key features of K-COPMAN are that it can make a robot environment-aware and that it supports goal-directed as well as passive perceptual processing. K-COPMAN is fully integrated into an autonomous mobile manipulation robot and is realized within the open-source robot library ROS.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116006612","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":"Human hand motion recognition using Empirical Copula","authors":"Zhaojie Ju, Honghai Liu","doi":"10.1109/IROS.2010.5649027","DOIUrl":"https://doi.org/10.1109/IROS.2010.5649027","url":null,"abstract":"Programming by Demonstration (PbD) enables robotic hands to learn human manipulation skills through storing motion primitives and recognizing motion types. In this paper, Empirical Copula is introduced to recognize dynamic human hand motions for the first time using the proposed motion template and matching algorithm. The huge computational cost of Empirical Copula is alleviated by the proposed re-sampling processing. The experiments with human hand motions including grasps and in-hand manipulations demonstrate Empirical Copula outperforms the Time Clustering (TC) method, Gaussian Mixture Models (GMMs) and Hidden Markov Models (HMMs) in terms of recognition rate. In addition, Empirical Copula is also proved to be able to recognize different motions from different subjects.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122510563","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}
E. Magid, T. Tsubouchi, E. Koyanagi, Tomoaki Yoshida
{"title":"Static balance for rescue robot navigation: Losing balance on purpose within random step environment","authors":"E. Magid, T. Tsubouchi, E. Koyanagi, Tomoaki Yoshida","doi":"10.1109/IROS.2010.5649361","DOIUrl":"https://doi.org/10.1109/IROS.2010.5649361","url":null,"abstract":"The goal of rescue robotics is to extend the capabilities and to increase the safety of human rescue teams. During a rescue mission a mobile robot is deployed on a rescue site and is operated from a safe place by a human operator. The operator can not see the robot and the environment and a decision on the path selection is very complicated. Our goal is to provide a kind of automatic “pilot system” to propose an operator a good direction or several options to traverse the environment, taking into an account the robot's static and dynamic properties. To find a good path we need a special path search algorithm on debris and a proper definition of a search tree, which can ensure smooth exploration. While the main goal of the algorithm is to keep the robot maximally stable at every step of its path, in some cases we need the robot to lose its balance and to change a 3D orientation discontinuously. Losing balance on purpose is an important feature for safe climbing up and going down the debris and it is the central issue of this paper. Exhaustive simulations were used to structure and analyze data and experiments were used to verify our approach to removing unsuitable directions of the search from the search tree.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122503837","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":"Fast 3D recognition and pose using the Viewpoint Feature Histogram","authors":"R. Rusu, G. Bradski, R. Thibaux, John M. Hsu","doi":"10.1109/IROS.2010.5651280","DOIUrl":"https://doi.org/10.1109/IROS.2010.5651280","url":null,"abstract":"We present the Viewpoint Feature Histogram (VFH), a descriptor for 3D point cloud data that encodes geometry and viewpoint. We demonstrate experimentally on a set of 60 objects captured with stereo cameras that VFH can be used as a distinctive signature, allowing simultaneous recognition of the object and its pose. The pose is accurate enough for robot manipulation, and the computational cost is low enough for real time operation. VFH was designed to be robust to large surface noise and missing depth information in order to work reliably on stereo data.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122714469","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}