Carnegie Mellon Robotics Institute
Antonio Diaz-Calderon, Dundee Navin-Chandra, and Pradeep Khosla
IEEE International Symposium on Assembly and Task Planning, August, 1995, pp. 87 - 93.
| Download |
|
| Abstract |
| Focusing on accessibility issues, this paper presents a qualitative measure of assembly task difficulty based on concepts from information theory. It is proposed that assembly task difficulty is directly proportional to the logarithm of the assembly task efficiency, this efficiency being a function of the average information content of the assembly task. Preliminary evaluation results are presented where the performance of this metric is tested. The results suggest that the new measure does a good job in capturing assembly difficulty as a function of assembly geometry. |
| Notes |
Associated Project(s):
Metaphor |
| Text Reference |
| Antonio Diaz-Calderon, Dundee Navin-Chandra, and Pradeep Khosla, "Measuring the difficulty of assembly tasks from tool access information," IEEE International Symposium on Assembly and Task Planning, August, 1995, pp. 87 - 93. |
| BibTeX Reference |
|
@inproceedings{Diaz-Calderon_1995_2295, author = "Antonio Diaz-Calderon and Dundee Navin-Chandra and Pradeep Khosla", title = "Measuring the difficulty of assembly tasks from tool access information", booktitle = "IEEE International Symposium on Assembly and Task Planning", pages = "87 - 93", month = "August", year = "1995", } |
| The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University. Contact Us | Update Instructions |