Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sebastian Koralewski"'
Autor:
Alberto Cavallo, Marco Costanzo, Giuseppe De Maria, Ciro Natale, Salvatore Pirozzi, Simon Stelter, Gayane Kazhoyan, Sebastian Koralewski, Michael Beetz
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783031060779
Nowadays, robots are used in the retail market mostly for warehousing, while they could be of great help in different in-store logistics processes as discussed in previous chapters. The present chapter deals with the shelf replenishment task; its exe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d871b268d73b0ea9f4ff46b4522e0240
https://hdl.handle.net/11591/481949
https://hdl.handle.net/11591/481949
Publikováno v:
IEEE Robotics and Automation Letters. 4:3766-3773
For robots to work outside of laboratory settings, their plans should be applicable to a variety of environments, objects, task contexts, and hardware platforms. This requires general-purpose methods that are, at this moment, not sufficiently perform
Publikováno v:
IROS
In this paper, we present an approach and an implemented pipeline for transferring data acquired from observing humans in virtual environments onto robots acting in the real world, and adapting the data accordingly to achieve successful task executio
Autor:
Franklin Kenghagho Kenfack, Simon Stelter, Michael Beetz, Gayane Kazhoyan, Sebastian Koralewski
Publikováno v:
ICRA
In this paper, we present an experiment, designed to investigate and evaluate the scalability and the robustness aspects of mobile manipulation. The experiment involves performing variations of mobile pick and place actions and opening/closing enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::161d5714fc231cfa7c84ffa508af04bb
Publikováno v:
ICRA
As autonomous, mobile robots are increasingly entering our everyday lives and the tasks they are to perform are getting continuously more complex and versatile, instructing robots by means of natural-language commands becomes more and more important.
Publikováno v:
KI 2017: Advances in Artificial Intelligence ISBN: 9783319671895
KI
KI
Research into knowledge acquisition for robotic agents has looked at interpreting natural language instructions meant for humans into robot-executable programs; however, the ambiguities of natural language remain a challenge for such “translations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29edf91b40a800d2e731e37fcb122ebc
https://doi.org/10.1007/978-3-319-67190-1_30
https://doi.org/10.1007/978-3-319-67190-1_30