{"title":"Extracting the orientation of a grasped object from contact information: an approach for overcoming prohibitive calibration requirements","authors":"D. Siegel, N. Pollard","doi":"10.1109/ISIC.1991.187360","DOIUrl":"https://doi.org/10.1109/ISIC.1991.187360","url":null,"abstract":"When manipulating a grasped object, especially with a robot hand, it is helpful to have an estimate of the object's orientation within the grasp. The object's orientation can be extracted from knowledge of the surface normals at the various points of contact with the object, but these surface normals must first be transformed into a common coordinate system. Successful execution of these transformations requires a prohibitive amount of accuracy in calibration of the arm and hand. An online method to improve these transformations in spite of calibration errors is presented. The method requires collecting contact force readings as the object is manipulated, and computing transform corrections that minimize the variation in the sum of the contact forces. Both experimental and simulated results are presented, and the implications of the results are discussed.<<ETX>>","PeriodicalId":140507,"journal":{"name":"Proceedings of the 1991 IEEE International Symposium on Intelligent Control","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127131779","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. Kara, S. Bagchi, S. Chawla, M. Iskarous, K. Kawamura
{"title":"Intelligent control of a robotic aid system for the physically disabled","authors":"A. Kara, S. Bagchi, S. Chawla, M. Iskarous, K. Kawamura","doi":"10.1109/ISIC.1991.187384","DOIUrl":"https://doi.org/10.1109/ISIC.1991.187384","url":null,"abstract":"An overview is given of research on a robotic aid system for the physically disabled. One of the goals of the system is to assist the user in feeding. In order to provide safe and easy-to-use services to the user in an environment where the robot arm operates near the user's face, reactive and predictive control is essential. Several research issues involved in building such an intelligent controller are presented, and the approach used to implement a mechanism for avoiding collision of the robot arm with the user's face is described.<<ETX>>","PeriodicalId":140507,"journal":{"name":"Proceedings of the 1991 IEEE International Symposium on Intelligent Control","volume":"136 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125966720","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 learning control scheme with gain estimator","authors":"Z. Geng, M. Jamshidi, R. Carroll, R. Kisner","doi":"10.1109/ISIC.1991.187385","DOIUrl":"https://doi.org/10.1109/ISIC.1991.187385","url":null,"abstract":"An adaptive learning control approach is proposed that combines a mechanism to improve control input sequence as well as to improve the learning control scheme based on the knowledge learned about unknown system and environment. First, the iterative learning control problem is treated from the 2-D system point of view. A 2-D model for a class of iterative learning control systems is formulated. Then a learning gain estimator algorithm based on the 2-D model is presented. The overall learning control system structure is given.<<ETX>>","PeriodicalId":140507,"journal":{"name":"Proceedings of the 1991 IEEE International Symposium on Intelligent Control","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127539202","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":"Qualitative homing","authors":"B. Pinette","doi":"10.1109/ISIC.1991.187377","DOIUrl":"https://doi.org/10.1109/ISIC.1991.187377","url":null,"abstract":"A homing problem is addressed in which a robot is given the bearings of the landmarks at the robot's current location, the bearings of the landmarks at the target location, and the correspondences between landmarks across the current and target locations. It is required to make an admissible movement, one that takes it closer to the target location. It is shown that an admissible homing movement can be determined in a qualitative way from angular constraints derived from inexact landmark bearings. The algorithm can be implemented with simple integer counting operations, without using costlier operations such as multiplication or matrix inversion. The algorithm (in conjunction with the consistency filtering algorithm) can handle uncertainty from two sources: incorrectly matched landmarks and inexact landmark bearings. This efficiency and robustness make it suitable for real robots running in real time.<<ETX>>","PeriodicalId":140507,"journal":{"name":"Proceedings of the 1991 IEEE International Symposium on Intelligent Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115772803","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}