1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.RO2026
MCFR: A Mask-Guided Coarse-to-Fine Regression Framework for Robust Multi-Variant Board-to-Board Connector Assembly
Guanghui Shen, Song Wang, Dan Wu
Automated insertion of board-to-board (BTB) connectors in 3C manufacturing requires both high visual accuracy and strong deployment robustness. This problem remains challenging bec…
eess.SY2026★ 1 cited
Sizing of Battery Considering Renewable Energy Bidding Strategy with Reinforcement Learning
Taiyo Mantani, Hikaru Hoshino, Tomonari Kanazawa +1
This paper proposes a novel computationally efficient algorithm for optimal sizing of Battery Energy Storage Systems (BESS) considering renewable energy bidding strategies. Unlike…
eess.SY2026
A Reinforcement Learning-based Transmission Expansion Framework Considering Strategic Bidding in Electricity Markets
Tomonari Kanazawa, Hikaru Hoshino, Eiko Furutani
Transmission expansion planning in electricity markets is tightly coupled with the strategic bidding behaviors of generation companies. This paper proposes a Reinforcement Learning…