Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Nishanth Koganti"'
Combining a Monte Carlo Tree Search and a Feasibility Database to Plan and Execute Rearranging Tasks
Autor:
Pedro Miguel Uriguen Eljuri, Gustavo Alfonso Garcia Ricardez, Nishanth Koganti, Jun Takamatsu, Tsukasa Ogasawara
Publikováno v:
IEEE Access, Vol 9, Pp 21721-21734 (2021)
In this paper, we address the problem of solving rearranging tasks using a robot. Rearranging tasks are challenging because they include many problems to solve at the same time, such as determining how to pick the items as well as planning how and wh
Externí odkaz:
https://doaj.org/article/c086c405230d4a14812344800ca7799a
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Combining a Monte Carlo Tree Search and a Feasibility Database to Plan and Execute Rearranging Tasks
Autor:
Gustavo Alfonso Garcia Ricardez, Jun Takamatsu, Tsukasa Ogasawara, Pedro Miguel Uriguen Eljuri, Nishanth Koganti
Publikováno v:
IEEE Access, Vol 9, Pp 21721-21734 (2021)
In this paper, we address the problem of solving rearranging tasks using a robot. Rearranging tasks are challenging because they include many problems to solve at the same time, such as determining how to pick the items as well as planning how and wh
Autor:
S. Okada, Nishanth Koganti, Akiya Yasuda, Jun Takamatsu, Masaki Yamamoto, Gustavo Alfonso Garcia Ricardez, Tsukasa Ogasawara, Pin-Chu Yang, L. El Hafi, P. M. Uriguen Eljuri
Publikováno v:
Advanced Robotics. 34:189-201
Recent demographic trends in super aging societies, such as Japan, is leading to severe worker shortage. Service robots can play a promising role to augment human workers for performing various hou...
Autor:
Akiya Yasuda, Masaki Yamamoto, Tetsuya Sano, Gustavo Alfonso Garcia Ricardez, Tsukasa Ogasawara, S. Okada, Nishanth Koganti, P. M. Uriguen Eljuri, Jun Takamatsu, L. El Hafi, Pin-Chu Yang
Publikováno v:
Advanced Robotics. 34:235-249
As the retail industry keeps expanding and shortage of workers increasing, there is a need for autonomous manipulation of products to support retail operations. The increasing amount of products an...
Publikováno v:
Advanced Robotics. 33(22):1156-1174
The recent demographic trend across developed nations shows a dramatic increase in the aging population, fallen fertility rates and a shortage of caregivers. Hence, the demand for service robots to assist with dressing which is an essential Activity
Publikováno v:
Advanced Robotics. 33:800-814
Motor-skill learning for complex robotic tasks is a challenging problem due to the high task variability. Robotic clothing assistance is one such challenging problem that can greatly improv...
Autor:
Tsukasa Ogasawara, Jun Takamatsu, Gustavo Alfonso Garcia Ricardez, Nishanth Koganti, Pedro Miguel Uriguen Eljuri
Publikováno v:
SII
In this paper, we address the task of rearranging items with a robot. A rearranging task is challenging because one should solve the following issues: to determine how to pick the items and plan how and where to place the items. In this study, we foc
Publikováno v:
Communication and Intelligent Systems ISBN: 9789811610882
In this paper, we present an information retrieval system on a corpus of scientific articles related to COVID-19 and biomedical. We build a heterogeneous entity-based knowledge graph network, where edges are shared between biomedical entities and pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2b17bfdae583451f62a0709f6cc68ff
https://doi.org/10.1007/978-981-16-1089-9_62
https://doi.org/10.1007/978-981-16-1089-9_62
Autor:
Jun Takamatsu, Tsukasa Ogasawara, Nishanth Koganti, Gustavo Alfonso Garcia Ricardez, Pedro Miguel Uriguen Eljuri
Publikováno v:
IRC
Humans do rearranging tasks every day. These tasks are time-consuming and tedious. Rearranging tasks are challenging because there are many problems to solve, such as identifying the items, manipulating the items, and finding a strategy to rearrange