User profiles for Koshi Oishi

Koshi Oishi

Toyota Central R&D Labs., Inc.
Verified email at mosk.tytlabs.co.jp
Cited by 37

Imitation-regularized optimal transport on networks: Provable robustness and application to logistics planning

K Oishi, Y Hashizume, T Jimbo, H Kaji… - IEEE Control Systems …, 2025 - ieeexplore.ieee.org
Transport systems on networks are crucial in various applications, but face a significant risk
of being adversely affected by unforeseen circumstances such as disasters. The application …

Autonomous cooperative transportation system involving multi-aerial robots with variable attachment mechanism

K Oishi, T Jimbo - 2021 IEEE/RSJ International Conference on …, 2021 - ieeexplore.ieee.org
Cooperative transportation by multi-aerial robots has the potential to support various payloads
and improve fail- safe against dropping. Furthermore, changing the attachment positions …

Simultaneous Control of Cost Dynamics and Transport in Network Systems

K Oishi, T Jimbo, S Kikuchi, Y Date, H Kaji… - IEEE …, 2025 - ieeexplore.ieee.org
Transportation networks, including infrastructures such as roads and power transmission, are
crucial for supporting modern society. However, these networks are frequently exposed to …

Scratch Team of Single-Rotor Robots and Decentralized Cooperative Transportation with Robot Failure

K Oishi, Y Amano, J Tomohiko - arXiv preprint arXiv:2307.00705, 2023 - arxiv.org
Achieving cooperative transportation by teams of aerial robots has been attracting attention
owing to its flexibility with respect to payloads and robustness against failures. In this paper, …

Resilience evaluation of entropy regularized logistic networks with probabilistic cost

K Oishi, Y Hashizume, T Jimbo, H Kaji, K Kashima - IFAC-PapersOnLine, 2023 - Elsevier
The demand for resilient logistics networks has increased because of recent disasters. With
regard to optimization problems, entropy regularization is a powerful tool for the …

Cooperative transportation using multiple single-rotor robots and decentralized control for unknown payloads

K Oishi, Y Amano, T Jimbo - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Cooperative transportation via multiple aerial robots has the potential to support various
payloads and reduce the chances of them being dropped. Furthermore, autonomously …

Extraction of implicit field cost via inverse optimal Schrödinger bridge

K Oishi, Y Hashizume, T Nakao… - SICE Journal of Control …, 2025 - Taylor & Francis
Koshi Oishi Koshi Oishi received a BE degree in information and image engineering and
an ME degree in information science from Chiba University, Chiba, Japan, in 2010 and 2012, …

Visual-Based Forklift Learning System Enabling Zero-Shot Sim2Real Without Real-World Data

K Oishi, T Kato, H Makino, S Ito - arXiv preprint arXiv:2412.11503, 2024 - arxiv.org
Forklifts are used extensively in various industrial settings and are in high demand for
automation. In particular, counterbalance forklifts are highly versatile and employed in diverse …

Ringing suppression of SiC MOSFET using a strongly coupled external resonator through analogy with passive PT-symmetry

K Yatsugi, K Oishi, H Iizuka - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
Suppressing parasitic ringing, unwanted oscillation caused by switching, sufficiently and
reliably, is of great importance in wide bandgap semiconductor devices. RC-circuits inserted in …

Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator

Y Hashizume, K Oishi, K Kashima - arXiv preprint arXiv:2403.01805, 2024 - arxiv.org
Shannon entropy regularization is widely adopted in optimal control due to its ability to
promote exploration and enhance robustness, eg, maximum entropy reinforcement learning …