X. H. Gao, M. Jin, Zongwu Xie, Li Jiang, F. Ni, S. Shi, R. Wei, H. Cai
{"title":"Development of the Chinese Intelligent Space Robotic System","authors":"X. H. Gao, M. Jin, Zongwu Xie, Li Jiang, F. Ni, S. Shi, R. Wei, H. Cai","doi":"10.1109/IROS.2006.281781","DOIUrl":"https://doi.org/10.1109/IROS.2006.281781","url":null,"abstract":"This paper gives an overview of the Chinese intelligent space robotic system. The system consists of a 6 DOF robot arm, a large-error tolerated gripper with two stereo cameras and onboard computer. The robot arm is composed of six identical modular joints, a big central hole in the modular joint was designed for the placement of the cables and plugs in the robot arm, which prevented them from damage of high temperature, radiation in the space environment and the motion of the robot. Joint torque sensor, joint position sensor and temperature sensors etc.., were integrated into the fully modular multi-sensory joint, which made the joint more intelligent. Also, a large-error tolerated gripper with two stereo cameras has been also designed to capture a microtarget satellite (MTS). A fault-tolerant onboard computer (OBC) with dual processing modules has been developed for the robot control. A zero gravity experimental system was developed to verify the functions of the robot arm under zero gravity environment","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125533628","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":"Ball Catching by a Puma Arm: a Nonlinear Dynamical Systems Approach","authors":"C. Santos, Manuel J. Ferreira","doi":"10.1109/IROS.2006.281748","DOIUrl":"https://doi.org/10.1109/IROS.2006.281748","url":null,"abstract":"We present an attractor based dynamics that autonomously generates temporally discrete movements and movement sequences stably adapted to changing online sensory information. Autonomous differential equations are used to formulate a dynamical layer with either stable fixed points or a stable limit cycle. A neural competitive dynamics switches between these two regimes according to sensorial context and logical conditions. The corresponding movement states are then converted by simple coordinate transformations into spatial positions of a robot arm. Movement initiation and termination is entirely sensor driven. In this article, the dynamic architecture was changed in order to cope with unreliable sensor information by including this information in the vector field. We apply this architecture to generate timed trajectories for a Puma arm which must catch a moving ball before it falls over a table, and return to a reference position thereafter. Sensory information is provided by a camera mounted on the ceiling over the robot. We demonstrate that the implemented decision-mechanism is robust to noisy sensorial information. Further, a flexible behavior is achieved. Flexibility means that if the sensorial context changes such that the previously generated sequence is no longer adequate, a new sequence of behaviors, depending on the point at which the changed occurred and adequate to the current situation emerges","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114969990","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}
K. Landzettel, C. Preusche, A. Albu-Schäffer, D. Reintsema, B. Rebele, G. Hirzinger
{"title":"Robotic On-Orbit Servicing - DLR's Experience and Perspective","authors":"K. Landzettel, C. Preusche, A. Albu-Schäffer, D. Reintsema, B. Rebele, G. Hirzinger","doi":"10.1109/IROS.2006.282164","DOIUrl":"https://doi.org/10.1109/IROS.2006.282164","url":null,"abstract":"The increasing number of launched satellites per year, calls for solutions to keep free operational space for telecommunication systems in geo-synchronized orbit, as well as to avoid the endangering of space systems in LEO (low-Earth orbit) and of the public living in the habited parts on Earth. Examples for such dangerous stranded space systems in the past are Skylab and MIR. In the future, the uncontrolled and accidental de-orbiting of other huge satellites is expected, where parts of these will hit the surface of the Earth. A feasible way to handle such problems might be to enforce the operational requirement to use some dedicated residual fuel for a controlled de-orbiting, or in case of GEO (geostationary orbit), to lift the satellites at their end of life into the graveyard orbit. Despite these measures, malfunctions of solar generators, control systems or thrusters cannot be avoided. Therefore, on-orbit servicing (OOS) will be a mandatory and challenging topic for space robotics in the near future. The outcome of national German projects like ROTEX, ESS and GETEX/ETS-VII represent a know-how which can be directly applied for the development of OOS-robotic systems. Control structures and several possible operational modes are discussed within this paper. The recently started national project ROKVISS already provides the necessary space-qualified hardware as well as the very powerful telepresence operational mode. The paper will concentrate on a description of the ROKVISS mission","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133215816","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":"Effect of the Capillary Force on Force Measurements in Submerged Micromanipulations","authors":"M. Nourine, M. Gauthier","doi":"10.1109/IROS.2006.282627","DOIUrl":"https://doi.org/10.1109/IROS.2006.282627","url":null,"abstract":"The subject of this article is to analyse the impact of liquid surface tension on force measurement in submerged micromanipulations. On the one hand, at the present, mechanical characterization of biological objects in biological liquid has significant interest. On the other hand, the reduction of the surface force, and adhesion forces in a submerged medium could be a good approach to perform reliable artificial objects micromanipulations. In both cases, the micro-nano force measurement in a liquid is a great challenge. In case of a force sensor placed out of the liquid, the measurement is disturbed by the liquid surface tension. This article proposes an analysis of the disturbance of the surface tension on the force measurement. Some design rules are proposed to reduce disturbances. We shows that the major disturbances are induced by the contact angle hysteresis and a complete method is proposed to calculate these disturbances in a micromanipulation task","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126506112","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":"Multi-robot SLAM with Unknown Initial Correspondence: The Robot Rendezvous Case","authors":"Xun S. Zhou, S. Roumeliotis","doi":"10.1109/IROS.2006.282219","DOIUrl":"https://doi.org/10.1109/IROS.2006.282219","url":null,"abstract":"This paper presents a new approach to the multi-robot map-alignment problem that enables teams of robots to build joint maps without initial knowledge of their relative poses. The key contribution of this work is an optimal algorithm for merging (not necessarily overlapping) maps that are created by different robots independently. Relative pose measurements between pairs of robots are processed to compute the coordinate transformation between any two maps. Noise in the robot-to-robot observations, propagated through the map-alignment process, increases the error in the position estimates of the transformed landmarks, and reduces the overall accuracy of the merged map. When there is overlap between the two maps, landmarks that appear twice provide additional information, in the form of constraints, which increases the alignment accuracy. Landmark duplicates are identified through a fast nearest-neighbor matching algorithm. In order to reduce the computational complexity of this search process, a kd-tree is used to represent the landmarks in the original map. The criterion employed for matching any two landmarks is the Mahalanobis distance. As a means of validation, we present experimental results obtained from two robots mapping an area of 4,800 m2","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116925357","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":"Situation Recognition and Behavior Induction based on Geometric Symbol Representation of Multimodal Sensorimotor Patterns","authors":"T. Inamura, Naoki Kojo, M. Inaba","doi":"10.1109/IROS.2006.282609","DOIUrl":"https://doi.org/10.1109/IROS.2006.282609","url":null,"abstract":"Memorization, abstraction, and generation of a time-series of sensors and motion patterns are some of the most important functions for intelligent robots, because these memories are useful for situation recognition and behavior decision making. In conventional research, recurrent neural networks are often used for such memory functions. However, they cannot memorize a lot of patterns and its learning algorithm is unreliable. In this paper, we propose a method for the induction of behavior and situational estimation based on hidden Markov models, which is currently one of the most useful stochastic models. With the proposed method, we show the feasibility of: (1) Both recognition and association are executed at the same time, and (2) A multiple degrees of freedom and multiple sensorimotor patterns are acceptable","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117208693","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":"Control Laws For The Tele Operation Of An Unmanned Aerial Vehicle Known As An X4-flyer","authors":"N. Guenard, T. Hamel, L. Eck","doi":"10.1109/IROS.2006.282432","DOIUrl":"https://doi.org/10.1109/IROS.2006.282432","url":null,"abstract":"In this paper, we present a control design for the teleoperation of a miniature unmanned aerial vehicle known as an X4-flyer. A simple dynamic nonlinear model for the vehicle, valid for quasi-stationary flight conditions, is derived as a basis for the control design. An attitude control based on information issued from an inertial measurement unit is designed. In order to control the vehicle altitude, an adaptive controller avoiding the ground effects and based on measurements issued from an ultrasonic low cost sensor is designed. In order to compute the altitude velocity, an estimator based on the proposed modelling is used. At the end of the paper, experimental results are presented","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"92 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121016671","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. Morales, T. Asfour, P. Azad, S. Knoop, R. Dillmann
{"title":"Integrated Grasp Planning and Visual Object Localization For a Humanoid Robot with Five-Fingered Hands","authors":"A. Morales, T. Asfour, P. Azad, S. Knoop, R. Dillmann","doi":"10.1109/IROS.2006.282367","DOIUrl":"https://doi.org/10.1109/IROS.2006.282367","url":null,"abstract":"In this paper we present a framework for grasp planning with a humanoid robot arm and a five-fingered hand. The aim is to provide the humanoid robot with the ability of grasping objects that appear in a kitchen environment. Our approach is based on the use of an object model database that contains the description of all the objects that can appear in the robot workspace. This database is completed with two modules that make use of this object representation: an exhaustive offline grasp analysis system and a real-time stereo vision system. The offline grasp analysis system determines the best grasp for the objects by employing a simulation system, together with CAD models of the objects and the five-fingered hand. The results of this analysis are added to the object database using a description suited to the requirements of the grasp execution modules. A stereo camera system is used for a real-time object localization using a combination of appearance-based and model-based methods. The different components are integrated in a controller architecture to achieve manipulation task goals for the humanoid robot","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121270314","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 Qualitative Visual Servoing to ensure the Visibility Constraint","authors":"Anthony Remazeilles, N. Mansard, F. Chaumette","doi":"10.1109/IROS.2006.281960","DOIUrl":"https://doi.org/10.1109/IROS.2006.281960","url":null,"abstract":"This paper describes an original control law called qualitative servoing. The particularity of this method is that no specific desired value is specified for the visual features involved in the control scheme. Indeed, visual features are only constrained to belong to a confident interval, which gives more flexibility to the system. While this formalism can be used for several types of visual features, it is used in this paper for improving the on-line control of the visibility of a target. The principle is to make a compromise between the classical positioning task and the visibility constraint. Experimental results obtained with a six degrees of freedom robot arm are presented, demonstrating the performance of the proposed method","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121338062","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":"Autonomous vision-based exploration and mapping using hybrid maps and Rao-Blackwellised particle filters","authors":"Robert Sim, J. Little","doi":"10.1109/IROS.2006.282485","DOIUrl":"https://doi.org/10.1109/IROS.2006.282485","url":null,"abstract":"This paper addresses the problem of exploring and mapping an unknown environment using a robot equipped with a stereo vision sensor. The main contribution of our work is a fully automatic mapping system that operates without the use of active ranger sensors (such as laser or sonic transducers), can operate in real-time and can consistently produce accurate maps of large-scale environments. Our approach implements a Rao-Blackwellised particle filter (RBPF) to solve the simultaneous localization and mapping problem and uses efficient data structures for real-time data association, mapping, and spatial reasoning. We employ a hybrid map representation that infers 3D point landmarks from image features to achieve precise localization, coupled with occupancy grids for safe navigation. This paper describes our framework and implementation, and presents our exploration method, and experimental results illustrating the functionality of the system","PeriodicalId":237562,"journal":{"name":"2006 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"2634 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127498800","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}