Zobrazeno 1 - 10
of 14 726
pro vyhledávání: '"Ikeuchi A"'
Video action localization aims to find the timings of specific actions from a long video. Although existing learning-based approaches have been successful, they require annotating videos, which comes with a considerable labor cost. This paper propose
Externí odkaz:
http://arxiv.org/abs/2408.17422
Autor:
Saito, Daichi, Kanehira, Atsushi, Sasabuchi, Kazuhiro, Wake, Naoki, Takamatsu, Jun, Koike, Hideki, Ikeuchi, Katsushi
In-hand tool manipulation is an operation that not only manipulates a tool within the hand (i.e., in-hand manipulation) but also achieves a grasp suitable for a task after the manipulation. This study aims to achieve an in-hand tool manipulation skil
Externí odkaz:
http://arxiv.org/abs/2407.11436
Autor:
Kikuta, Daisuke, Ikeuchi, Hiroki, Tajiri, Kengo, Toyama, Yuta, Nakamura, Masaki, Nakano, Yuusuke
As a telecom provider, our company has a critical mission to maintain telecom services even during power outages. To accomplish the mission, it is essential to maintain the power of the telecom base stations. Here we consider a solution where electri
Externí odkaz:
http://arxiv.org/abs/2404.02448
Autor:
Kawamoto, Y., Kikkawa, T., Kawamata, M., Umemoto, Y., Manning, A. G., Rule, K. C., Ikeuchi, K., Kamazawa, K., Fujita, M., Saitoh, E., Kakurai, K., Nambu, Y.
Publikováno v:
Appl. Phys. Lett. 124, 132406 (2024). Featured Article & AIP Publishing Showcase
Magnon spin currents in the ferrimagnetic garnet Tb3Fe5O12 with 4f electrons were examined through the spin-Seebeck effect and neutron scattering measurements. The compound shows a magnetic compensation, where the spin-Seebeck signal reverses above a
Externí odkaz:
http://arxiv.org/abs/2404.01603
The Vehicle Routing Problem (VRP) is a widely studied combinatorial optimization problem and has been applied to various practical problems. While the explainability for VRP is significant for improving the reliability and interactivity in practical
Externí odkaz:
http://arxiv.org/abs/2403.03585
Autor:
Takamatsu, Jun, Saito, Daichi, Ikeuchi, Katsushi, Kanehira, Atsushi, Sasabuchi, Kazuhiro, Wake, Naoki
To use new robot hardware in a new environment, it is necessary to develop a control program tailored to that specific robot in that environment. Considering the reusability of software among robots is crucial to minimize the effort involved in this
Externí odkaz:
http://arxiv.org/abs/2403.02316
Autor:
Huang, Qiuyuan, Wake, Naoki, Sarkar, Bidipta, Durante, Zane, Gong, Ran, Taori, Rohan, Noda, Yusuke, Terzopoulos, Demetri, Kuno, Noboru, Famoti, Ade, Llorens, Ashley, Langford, John, Vo, Hoi, Fei-Fei, Li, Ikeuchi, Katsu, Gao, Jianfeng
Recent advancements in large foundation models have remarkably enhanced our understanding of sensory information in open-world environments. In leveraging the power of foundation models, it is crucial for AI research to pivot away from excessive redu
Externí odkaz:
http://arxiv.org/abs/2403.00833
Autor:
Durante, Zane, Sarkar, Bidipta, Gong, Ran, Taori, Rohan, Noda, Yusuke, Tang, Paul, Adeli, Ehsan, Lakshmikanth, Shrinidhi Kowshika, Schulman, Kevin, Milstein, Arnold, Terzopoulos, Demetri, Famoti, Ade, Kuno, Noboru, Llorens, Ashley, Vo, Hoi, Ikeuchi, Katsu, Fei-Fei, Li, Gao, Jianfeng, Wake, Naoki, Huang, Qiuyuan
The development of artificial intelligence systems is transitioning from creating static, task-specific models to dynamic, agent-based systems capable of performing well in a wide range of applications. We propose an Interactive Agent Foundation Mode
Externí odkaz:
http://arxiv.org/abs/2402.05929
Autor:
Durante, Zane, Huang, Qiuyuan, Wake, Naoki, Gong, Ran, Park, Jae Sung, Sarkar, Bidipta, Taori, Rohan, Noda, Yusuke, Terzopoulos, Demetri, Choi, Yejin, Ikeuchi, Katsushi, Vo, Hoi, Fei-Fei, Li, Gao, Jianfeng
Multi-modal AI systems will likely become a ubiquitous presence in our everyday lives. A promising approach to making these systems more interactive is to embody them as agents within physical and virtual environments. At present, systems leverage ex
Externí odkaz:
http://arxiv.org/abs/2401.03568
We introduce a pipeline that enhances a general-purpose Vision Language Model, GPT-4V(ision), to facilitate one-shot visual teaching for robotic manipulation. This system analyzes videos of humans performing tasks and outputs executable robot program
Externí odkaz:
http://arxiv.org/abs/2311.12015