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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tominaga, H. Takamatsu, J. Ogawara, K. Kimura, H. Ikeuchi, K. |
| Copyright Year | 2000 |
| Description | Author affiliation: Inst. of Ind. Sci., Tokyo Univ., Japan (Tominaga, H.) |
| Abstract | The completion of robot programs requires long development time and much effort. To shorten this programming time and minimize the effort, we have been developing a system which we refer to as "assembly-plan-from-observation (APO) system;" this system provides the ability for a robot to observe a human performing an assembly tasks, understand the tasks, and subsequently generate a program to perform that same task. One of the necessary tasks in APO is to create a trajectory of robot hand movement from observing human performance. The previous system developed a direct observation method based on the trajectory of a human movement. Though simple and handy, the system was susceptible to noise. This paper proposes a method to make the observation robust against noise by using symbolic representations of a trajectory based on contact analysis. The system divides the trajectory into small segments based on the contact analysis, then allocates an operation element referred to as a sub-skill to those segments; the result is a robust trajectory-based APO system. |
| Starting Page | 4076 |
| Ending Page | 4081 |
| File Size | 603549 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780358864 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2000.845367 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-04-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robotic assembly Humans Assembly systems Robotics and automation Face Noise robustness Service robots Design automation Information systems Monitoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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