Our team focuses on point cloud based representation and reasoning techniques for building accurate and meaningful 3D maps for mobile robots in both indoor and outdoor environments. One of our main application and deployment scenario is the Assistive Kitchen. However, all our methods were carefully crafted with generality in mind, therefore they have been also successfully applied to outdoor urban, aerial, and underwater datasets.
This project was partly funded by CoTeSys.
@inproceedings{icra11perception-manipulation,
author = {Michael Beetz and Ulrich Klank and Alexis Maldonado and Dejan Pangercic and Thomas R\"uhr},
title = {Robotic Roommates Making Pancakes - Look Into Perception-Manipulation Loop},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA), Workshop on Mobile Manipulation: Integrating Perception and Manipulation},
month = {May, 9--13},
year = {2011},
pages = {529--536},
bib2html_pubtype = {Workshop Paper},
bib2html_groups = {EnvMod, Cogman, CoP},
bib2html_funding = {CoTeSys},
bib2html_rescat = {Action, Perception},
bib2html_domain = {Assistive Household}
}