{"title":"Intelligent formation control based on directionality of multi-agent system","authors":"N. Aizawa, N. Kubota","doi":"10.1109/RIISS.2009.4937911","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937911","url":null,"abstract":"Recently, multi-agent systems have been discussed to realize a large size of distributed autonomous system. This paper proposes an intelligent control method based on directionality of multiple partner robots. First of all, we discuss the current state of researches on the multi-agent systems. Next, we propose a multi-objective behavior coordination to realize formation behavior based on the integration of the intelligent control from the local viewpoint of individual intelligence and the spring model from the global viewpoint of collective intelligence. Finally, we discuss the effectiveness of the proposed method through several computer simulation results.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130945447","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":"Adaptive boundary-following algorithm guided by artificial potential field for robot navigation","authors":"M. S. Charifa, M. Bikdash","doi":"10.1109/RIISS.2009.4937904","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937904","url":null,"abstract":"We propose a novel boundary-following algorithm that works in conjunction with any potential function that is guaranteed to take the robot to the target. The potential field must not have any local minima but is not required to avoid moving too closely to the boundary. The proposed method has several advantages: a) The calculation of the C-space is avoided, which can be costly especially if the robot has the ability of rotation; b) the safety distance, which is the distance from the robot to the closest obstacles boundary, is controllable and adaptive; c) the resulting path is quasi-optimal in the sense that it is approximates the shortest path, given the safety distance constraints. The proposed boundary following algorithm is guided by the potential field at critical handoff points where the robot switches from one mode of navigation (e.g., following a wall) to another (e.g., following the potential field). The method adjusts its behavior according to the degree of clutter, i.e. the number of interacting boundaries. The proposed method was simulated extensively for different safety distances, and different starting points.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122433220","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 strategies applied to kinesthetic haptic devices","authors":"Mildred J. Puerto, E. Sánchez, J. J. Gil","doi":"10.1109/RIISS.2009.4937918","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937918","url":null,"abstract":"In this paper, the state of the art in force feedback haptic devices is presented. The importance of the current searching for better immersion characteristics has motivated an interesting research in advanced control strategies. The passive, optimal, adaptive and robust control strategies applied in the last two years to haptic devices have improved the stability and response of contact with rigid and soft virtual objects. All this has shown that control can improve the human sensation of reality in virtual worlds.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122260974","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-objective behavior coordination based on sensory network for multiple mobile robots","authors":"Y. Nojima","doi":"10.1109/RIISS.2009.4937908","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937908","url":null,"abstract":"This paper deals with multi-objective behavior coordination and sensory networks based on fuzzy control for multiple mobile robots. In multi-objective behavior coordination, weights are assigned to basic behaviors and updated gradually according to the time series of sensory inputs. A robot with our behavior coordination can take a smooth action. The sensory network is the self-update mechanism of a sensory range in order to realize flexible control with a small number of control rules. Both methods have been successfully applied to a single mobile robot. In this paper, we focus on an environment including multiple mobile robots. We examine the effects of the values for updating behavior weights and sensory ranges on the performance of multiple mobile robots. From the experimental results, we show the effectiveness of the multi-objective behavior coordination and sensory networks in the environment including multiple mobile robots.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114531387","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":"Evaluating failure in terrain coverage by autonomous agents","authors":"R.R.D. Treverton, R. Menezes","doi":"10.1109/RIISS.2009.4937910","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937910","url":null,"abstract":"The work on terrain coverage algorithms has been shown to be applicable to many real-world problems. Examples range from battlefield tactics to planetary exploration and from spell-checking to vacuuming. The general idea behind terrain coverage lies on exploring a defined area/environment as much as possible. Previous works have demonstrated the effectiveness of algorithms in various scenarios such as unobstructed and obstructed terrains, and terrains that contain special, hard-to-find, locations such as rooms accessible only by a small entrance. However, these evaluations fall a little short because they do not consider the fact that agents covering an area are prone to failures. For example, a robot in a planetary exploration task can break down and be permanently or intermittently unavailable. This paper attempts to close this gap by evaluating terrain coverage algorithms under three main failure models. The failure models themselves are defined here based on an empirical analysis of how agents fail in real-world applications.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124440562","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":"EMG-based control for lower-limb power-assist exoskeletons","authors":"K. Kiguchi, Y. Imada","doi":"10.1109/RIISS.2009.4937901","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937901","url":null,"abstract":"Power-Assist for lower-limb is expected by many physically weak persons to assist their daily activities. It is important for the power-assist robots that the assist motion is generated based on users motion intention. This paper presents a muscle-model-oriented EMG-based (electromyogram-based) control method to activate a lower-limb power-assist robot according to the users motion intention since the EMG directly reflects the users muscle activities. In the proposed method, a matrix which expresses the relationship between the muscle activities and the generating joint torque is applied to estimate the users motion intention in real-time. The effectiveness of the proposed control method was evaluated by performing experiments.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123154479","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":"Study on natural head motion in waiting state with receptionist robot SAYA that has human-like appearance","authors":"T. Hashimoto, Hiroshi Kobayashi","doi":"10.1109/RIISS.2009.4937912","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937912","url":null,"abstract":"Android robots that have a human-like appearance have been developed recently. The purpose of android robots is to realize realistic communication between human and robot by implementation of human-like behaviors. Then knowledge and techniques for generating human-like natural motions and behaviors with android robot are required. In human, head and body are moved consciously or unconsciously even while waiting. Therefore it is thought that moving SAYA's head and body in waiting state like human beings improves humanity of SAYA. Thus, in this study, we tried to realize human-like head motion in waiting state with SAYA. Firstly, we measured human head motion and time-dependent three head rotation angles were obtained in waiting state by using motion capture system. We then analyzed human head motions and we proposed random walk model based on characteristics of human head motions for SAYAs motions. Then we implemented natural head motions to SAYA. Finally, we verified that head motions in waiting state affected the humanity of SAYA, and it greatly enhanced emotional impression of human by subjective experiment","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134435666","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":"Simultaneous Adaptive Path planning system for the real world application","authors":"Y. Kuroda, Teppei Saitoh","doi":"10.1109/RIISS.2009.4937905","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937905","url":null,"abstract":"In this paper, we propose a path planning system named SAP (Simultaneous Adaptive Path planning) which can make a plan adapt to kinematic and dynamic constraints, and dynamically changing environment simultaneously. SAP has three key issues: condition layers, a dynamic space, and a search tree. Each condition layer involves a factor which influences running of the robot such as coefficient of friction and elevation of the field. Dynamic space is an area in velocity domain where the robot could reach in the next time step. The limitation (means outer shape) of the dynamic space is defined as a function of all conditions and a robot model, velocities that can be achieved within a short time interval. Search tree that consider the dynamic space expands like tree to search a path from start to goal. By these mechanisms, SAP can generate a path that robot can achieve in real environment.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128143493","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":"An adaptive neuro-endocrine system for robotic systems","authors":"J. Timmis, M. Neal, James Thorniley","doi":"10.1109/RIISS.2009.4937917","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937917","url":null,"abstract":"We present an adaptive artificial neural-endocrine (AANE) system that is capable of learning “on-line” and exploits environmental data to allow for adaptive behaviour to be demonstrated. Our AANE is capable of learning associations between sensor data and actions, and affords systems the ability to cope with sensor degradation and failure. We have tested our system in real robotic units and demonstrate adaptive behaviour over prolonged periods of time. This work is another step towards creating a robotic control system that affords “homeostasis” for prolonged autonomy.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127259996","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":"Fuzzy Qualitative Gaussian Inference: Finding hidden Probability Distributions using Fuzzy Membership Functions","authors":"Mehdi Khoury, Honghai Liu","doi":"10.1109/RIISS.2009.4937900","DOIUrl":"https://doi.org/10.1109/RIISS.2009.4937900","url":null,"abstract":"This paper introduces Fuzzy Qualitative Gaussian Inference: a novel way to build Fuzzy Membership Functions that map to hidden Probability Distributions underlying the informationally structured space. This method is used to classify boxing moves from natural human Motion Capture data. In our experiment, the system is able to recognise seven different boxing stances simultaneously with an accuracy superior to a GMM-based classifier. Results seem to indicate that a template can be learned and a stance identified in under 18 milliseconds, which may allow recognition in real-time.","PeriodicalId":110992,"journal":{"name":"2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127440498","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}