{"title":"Towards a complete safe path planning for robotic manipulators","authors":"B. Lacevic, P. Rocco","doi":"10.1109/IROS.2010.5650945","DOIUrl":"https://doi.org/10.1109/IROS.2010.5650945","url":null,"abstract":"We propose a novel method of path planning for robotic manipulators that is based on the tree expansion via bubbles of free configuration space. The algorithm is designed to yield collision-free paths that also tend to minimize a certain danger criterion. This is achieved by embedding a suitably tailored heuristics within the algorithm. For that purpose we use a recently proposed safety assessment based on the concept of the danger field - an easily computable quantity that captures the complete kinematic behavior of the manipulator. Under the assumption that a systematic graph search technique dictates the tree growth, we prove the algorithm's completeness.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"113 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":"115638847","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. Fumagalli, M. Randazzo, F. Nori, L. Natale, G. Metta, G. Sandini
{"title":"Exploiting proximal F/T measurements for the iCub active compliance","authors":"M. Fumagalli, M. Randazzo, F. Nori, L. Natale, G. Metta, G. Sandini","doi":"10.1109/IROS.2010.5651421","DOIUrl":"https://doi.org/10.1109/IROS.2010.5651421","url":null,"abstract":"During the last decades, interaction (with humans and with the environment) has become an increasingly interesting topic of research within the field of robotics. At the basis of interaction, a fundamental role is played by the ability to actively regulate the interaction forces. In this paper we propose a technique for controlling the interaction forces exploiting a proximal six axes force/torque sensor. The major assumption is the knowledge of the point where external forces are applied. The proposed approach is tested and validated on the four limbs of the iCub, a humanoid robot designed for research in embodied cognition. Remarkably, the proposed approach can be used to implement active compliance in other non passively back-drivable manipulators by simply inserting one or more force/torque sensor anywhere along the kinematic chain.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"6 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":"115778446","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}
Carlos Nieto-Granda, J. Rogers, A. J. Trevor, H. Christensen
{"title":"Semantic map partitioning in indoor environments using regional analysis","authors":"Carlos Nieto-Granda, J. Rogers, A. J. Trevor, H. Christensen","doi":"10.1109/IROS.2010.5650575","DOIUrl":"https://doi.org/10.1109/IROS.2010.5650575","url":null,"abstract":"Classification of spatial regions based on semantic information in an indoor environment enables robot tasks such as navigation or mobile manipulation to be spatially aware. The availability of contextual information can significantly simplify operation of a mobile platform. We present methods for automated recognition and classification of spaces into separate semantic regions and use of such information for generation of a topological map of an environment. The association of semantic labels with spatial regions is based on Human Augmented Mapping. The methods presented in this paper are evaluated both in simulation and on real data acquired from an office environment.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"28 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":"124143799","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":"Asynchronous Multi-Centralized Cooperative Localization","authors":"Esha D. Nerurkar, S. Roumeliotis","doi":"10.1109/IROS.2010.5650133","DOIUrl":"https://doi.org/10.1109/IROS.2010.5650133","url":null,"abstract":"This paper presents a generalized framework for inter-robot information-transfer schemes in Multi-Centralized Cooperative Localization (MC-CL) under asynchronous communication, i.e., when the communication graph associated with the mobile robot network is time-varying and intermittently disconnected. Specifically, two information-transfer schemes, which differ based on their communication bandwidth requirements per link, are discussed. Even under asynchronous communication constraints, these schemes enable robots to compute pose estimates identical to those generated using the centralized CL framework, albeit delayed. For each of these schemes, necessary and sufficient conditions for the communication-graph connectivity, that enable each robot to generate the centralized estimates, are developed. Moreover, detailed description of these schemes, along with their communication-complexity analysis and analytical results for the expected time delay in obtaining these estimates, are presented. Lastly, simulation results are used to validate the performance (the trade-off between communication link bandwidth and accuracy/delay) of these information-transfer schemes.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"302 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":"124206060","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":"Endovascular navigation of a ferromagnetic microrobot using MRI-based predictive control","authors":"K. Belharet, D. Folio, Antoine Ferreira","doi":"10.1109/IROS.2010.5650803","DOIUrl":"https://doi.org/10.1109/IROS.2010.5650803","url":null,"abstract":"This paper presents real-time MRI-based control of a ferromagnetic microcapsule for endovascular navigation. The concept was studied for future development of microdevices designed to perform minimally invasive interventions in remote sites accessible through the human cardiovascular system. A system software architecture is presented illustrating the different software modules to allow navigation of a microdevice in blood vessels, namely: (i) vessel path planner, (ii) magnetic gradient steering, (iii) tracking and (iv) closed-loop navigation control. First, the position recognition of the microrobot into the blood vessel is extracted using Frangi vesselness filtering from the pre-operation images. Then, a set of minimal trajectory is predefined, using FMM, to guide the microrobot from the injection point to the tumor area through the anarchic vessel network. Based on the pre-computed path, a GPC is proposed for robust time-multiplexed navigation along a 2D path in presence of pulsative flow. The simulation results suggest the validation of the proposed image processing and control algorithms. A series of disturbances introduced in the presence and absence of closed-loop control affirms the robustness and effectiveness of this predictive control system.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"35 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":"124524001","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}
V. Lebastard, C. Chevallereau, Ali Amrouche, Brahim Jawad, A. Girin, F. Boyer, P. Gossiaux
{"title":"Underwater robot navigation around a sphere using electrolocation sense and Kalman filter","authors":"V. Lebastard, C. Chevallereau, Ali Amrouche, Brahim Jawad, A. Girin, F. Boyer, P. Gossiaux","doi":"10.1109/IROS.2010.5648929","DOIUrl":"https://doi.org/10.1109/IROS.2010.5648929","url":null,"abstract":"The aim of this paper is to perform the navigation of an underwater robot equipped with a sensor using the electric sense. The robot navigates in an unbounded environment in presence of spheres. This sensor is inspired of some species of electric fish. A model of this sensor composed of n spherical electrodes is established. The variations of the current due to the presence of the sphere is related to the model of Rasnow [3]. Unscented Kalman Filter is used to localize the robot with respect to the sphere and to estimate the size of the sphere. We show that bio-inspired motions improve the detection of the spheres. We illustrate the efficiency of the method in two cases: a two electrodes sensor and a four electrodes sensor.","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":"114397893","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":"Multidimensional scaling based location calibration for Wireless Multimedia Sensor Networks","authors":"R. Kadam, Sijian Zhang, Qizhi Wang, W. Sheng","doi":"10.1109/IROS.2010.5649678","DOIUrl":"https://doi.org/10.1109/IROS.2010.5649678","url":null,"abstract":"Wireless Multimedia Sensor Networks (WMSNs) are gaining popularity among researchers over the past few years. Knowledge of the geographic locations of the sensor nodes is very important in a WMSN. In this paper we propose a new algorithm which uses the connectivity information, the estimated distance information among the sensor nodes, as well as the vision images to find the location of the sensor nodes to enable sensor calibration. We achieve this by solving an ID association problem in the WMSN. We then generate local maps for nodes in immediate vicinity and merge them together to get a global map. We demonstrate the effectiveness of our proposed approach through computer simulation.","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":"114797760","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. Transeth, Ø. Skotheim, H. Schumann-Olsen, Gorm Johansen, J. Thielemann, E. Kyrkjebø
{"title":"A robotic concept for remote maintenance operations: A robust 3D object detection and pose estimation method and a novel robot tool","authors":"A. Transeth, Ø. Skotheim, H. Schumann-Olsen, Gorm Johansen, J. Thielemann, E. Kyrkjebø","doi":"10.1109/IROS.2010.5650198","DOIUrl":"https://doi.org/10.1109/IROS.2010.5650198","url":null,"abstract":"Future normally-unmanned oil platforms offer potentially significantly lower commissioning and operation costs than their current manned counterparts. The ability to initiate and perform remote inspection and maintenance (I&M) operations is crucial for maintaining such platforms. This paper presents a system solution, including key components such as a 3D robot vision system, a robot tool and a control architecture for remote I&M operations on processes similar to those on topside oil platforms. In particular, a case study on how to automatically replace a battery in a wireless process sensor is investigated. A novel robot tool for removing and re-attaching the sensor lid has been designed. Moreover, a robot control architecture for remote control of industrial-type robot manipulators is presented. A 3D robot vision system for localizing the sensor lid and the battery has been developed. The system utilizes structured light, using an off-the-shelf projector and a standard machine vision camera. A novel, robust and fast vision algorithm called 3D-MaMa has been adapted to work for object localization and pose estimation in complex scenes, in our case the process equipment in our lab facility. Experimental results from our lab facility are presented which describe a series of battery replacement operations for various unknown positions of the wireless sensor, and we report on accuracies and success ratios. The experiments demonstrate that the described vision system is able to recover the full pose and orientation of an object, and that the results are directly applicable for controlling advanced robot contact operations. Moreover, the custom-built lid operation tool demonstrates successful results.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"6 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":"114858490","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}
S. Boucenna, P. Gaussier, P. Andry, L. Hafemeister
{"title":"Imitation as a communication tool for online facial expression learning and recognition","authors":"S. Boucenna, P. Gaussier, P. Andry, L. Hafemeister","doi":"10.1109/IROS.2010.5650357","DOIUrl":"https://doi.org/10.1109/IROS.2010.5650357","url":null,"abstract":"We are interested in understanding how babies learn to recognize facial expressions without having a teaching signal allowing to associate a facial expression to a given abstract label (i.e the name of the facial expression ‘sadness’, ‘happiness’…). Our starting point was a mathematical model showing that if the baby uses a sensory motor architecture for the recognition of the facial expression then the parents must imitate the baby facial expression to allow the on-line learning. In this paper, a first series of robotics experiments showing that a simple neural network model can control the robot head and learn on-line to recognize the facial expressions (the human partner imitates the robot prototypical facial expressions) is presented. We emphasize the importance of the emotions as a mechanism to ensure the dynamical coupling between individuals allowing to learn more complex tasks","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"34 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":"114717006","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":"Probability of love between robots and humans","authors":"H. Samani, A. Cheok","doi":"10.1109/IROS.2010.5650886","DOIUrl":"https://doi.org/10.1109/IROS.2010.5650886","url":null,"abstract":"In order to develop a close relationship between humans and robots, we proposed a multi-modal sentimental model which considers both long and short term affective parameters of interaction. Our model is inspired from scientific studies of love in humans and aims to generate a bi-directional love between humans and robots. We refer to this sentimental connection as “Lovotics”. We have formulated probabilistic mathematical models for identified factors of love, and aim to provide a clear, distinct and discrete interpretation of the intimacy between humans and robots. Such mathematical models are assembled by a Bayesian Network depicting the relationship between intimacy and the causal factors for love. Furthermore, a novel affective state transition system is proposed which takes into account not only the current state caused by interactions, but also the effects of the previous states and internal factors of the robot. Hence, the robot is capable of acting consistently and naturally. The behavior of the robot is controlled by the above two modules via an Artificial Neural Network to develop a realistic affective communication between a human and a robot.","PeriodicalId":420658,"journal":{"name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"63 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":"115006731","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}