Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Payam Nikdel"'
Publikováno v:
ICRA
This paper investigates a hybrid solution which combines deep reinforcement learning (RL) and classical trajectory planning for the "following in front" application. Here, an autonomous robot aims to stay ahead of a person as the person freely walks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731d13cba271b3cef7ee62d26732de85
https://doi.org/10.1109/icra48506.2021.9560914
https://doi.org/10.1109/icra48506.2021.9560914
Publikováno v:
CRV
This paper describes a system whereby a robot detects and tracks human-meaningful navigational cues as it navigates in an indoor environment. It is intended as the sensor front-end for a mobile robot system that can communicate its navigational conte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a050832bece4f0aaddeaeb99b4aaaf6
https://doi.org/10.1109/crv50864.2020.00017
https://doi.org/10.1109/crv50864.2020.00017
Publikováno v:
IROS
We present a relational graph learning approach for robotic crowd navigation using model-based deep reinforcement learning that plans actions by looking into the future. Our approach reasons about the relations between all agents based on their laten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8f152eda609a08878982137d2b05871
http://arxiv.org/abs/1909.13165
http://arxiv.org/abs/1909.13165
Publikováno v:
ICRA
This paper demonstrates an autonomous mobile robot that follows a walking user while staying ahead of them. Despite several useful applications for autonomous push-carts, this problem has received much less attention than the easier problem of follow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fac8c4a85f9bf37c38433e3827cb26f
https://doi.org/10.1109/icra.2018.8461181
https://doi.org/10.1109/icra.2018.8461181