iTASC: a Tool for Multi-Sensor Integration in Robot Manipulation

被引:0
|
作者
Smits, Ruben [1 ]
De Laet, Tinne [1 ]
Claes, Kasper [1 ]
Bruyninckx, Herman [1 ]
De Schutter, Joris [1 ]
机构
[1] Katholieke Univ Leuven, Dept Mech Engn, B-3001 Louvain, Belgium
来源
2008 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
iTASC (acronym for 'instantaneous task specification and control') ill is a systematic constraint-based approach to specify complex tasks of general sensor-based robot systems. iTASC integrates both instantaneous task specification and estimation of geometric uncertainty in a unified framework. Automatic derivation of controller and estimator equations follows from a geometric task model that is obtained using a systematic task modeling procedure. The approach applies to a large variety of robot systems (mobile robots, multiple robot systems, dynamic human-robot interaction, etc.), various sensor systems, and different robot tasks. Using an example task, this paper shows that iTASC is a powerful tool for multi-sensor integration in robot manipulation. The example task includes multiple sensors: encoders, a force sensor, cameras, a laser distance sensor and a laser scanner. The paper details the systematic modeling procedure for the example task and elaborates on the task specific choice of two types of task coordinates: feature coordinates, defined with respect to object and feature frames, which facilitate the task specification, and uncertainty coordinates to model geometric uncertainty. Experimental results for the example task are presented.
引用
收藏
页码:162 / 169
页数:8
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