Yoshihiro Ohama

11 papers A* 1A 1B 1Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Utilizing Knowledge in Vision-Language Model for Robotic Grasp Force Estimation through Robot-to-Human Image Translation.
SII
Shohei Hagane, Shigeaki Goto, Yoshihiro Ohama
2024 A conf
MARPF: Multi-Agent and Multi-Rack Path Finding.
IROS
Hiroya Makino, Yoshihiro Ohama, Seigo Ito
2024 J jnl
MARPF: Multi-Agent and Multi-Rack Path Finding.
CoRR
Hiroya Makino, Yoshihiro Ohama, Seigo Ito
2021 — conf
CIM: Constraint-based Intersection Management in Mixture of Non-Connected Vehicles.
ITSC
Akinobu Fujii, Bunyo Okumura, Yoshihiro Ohama, Akihiro Nakamura, Kunihiro Goto, Tsukasa Shimizu
2021 J jnl
Improvements in Perpendicular Reverse Parking by Directing Drivers' Preliminary Behavior.
IEEE Access
Yoshihiro Ohama, Kakeru Tanaka, Hiroshi Yasuda, Kainosuke Obata, Naohiro Fukumura
2017 — conf
A Parallel Forward-Backward Propagation Learning Scheme for Auto-Encoders.
ICONIP (2)
Yoshihiro Ohama, Takayoshi Yoshimura
2012 A* conf
Toward a practical wall see-through system for drivers: How simple can it be?
ISMAR
Hiroshi Yasuda, Yoshihiro Ohama
2006 J jnl
A forward-propagation learning rule for neural inverse models in consideration of the correlation of propagated errors.
Syst. Comput. Jpn.
Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno
2005 — conf
A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop Control.
ICANN (2)
Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno
2005 J jnl
A forward-propagation learning rule for neural inverse models using a method of recursive least squares.
Syst. Comput. Jpn.
Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno
2004 B conf
A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm.
ICONIP
Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno