Title
An automated pick-and-place benchmarking system in robotics
Abstract
The reproducibility and objective assessment of a robot's manipulation ability is a crucial topic in robotics. The definition of testing protocols and the automation of such test procedures is challenging. Most evaluation protocols in benchmarks and competitions include not completely standardized interactions of a human/referee and are furthermore influenced by partially subjective criteria across different research areas. A promising and more objective solution is to automate benchmarking protocols for a range of reproducible manipulation tasks. We present an approach that is simplified to the essential elements, in which most of the process and evaluation is automated. The proposed system has low price and effort requirements and allows researchers to compare their robots without placing them side by side. To allow a wide range of robots to be benchmarked all parts will be available open source. In our system, an object is positioned in front of the benchmarked robot by a mobile minirobot that localizes itself on a table according to the individual task's predefined positions. By automating most of the process we ensure that the object locations tested as well as the timings are reproducible and well documented. This approach fosters the objective comparability of robot performances.
Year
DOI
Venue
2018
10.1109/ICARSC.2018.8374190
2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)
Keywords
Field
DocType
testing protocols,test procedures,evaluation protocols,partially subjective criteria,different research areas,benchmarking protocols,reproducible manipulation tasks,benchmarked robot,individual task,object locations,objective comparability,robot performances,automated pick-and-place benchmarking system,robot manipulation ability
Testing protocols,Software engineering,Computer science,Automation,SMT placement equipment,Artificial intelligence,Robot,Comparability,Benchmarking,Robotics,Test procedures
Conference
ISSN
ISBN
Citations 
2573-9360
978-1-5386-5222-0
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Nils Neumann100.34
Sebastian Meyer Zu Borgsen2184.01
Phillip Lücking300.68
Sven Wachsmuth426743.83