Shotaro Miwa — accepted AI-conference papers

2025

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown

Bowen Wang, Zhouqiang Jiang, Yasuaki Susumu, Shotaro Miwa, Tianwei Chen, Yuta Nakashima

ICCV 2025poster

The real value of knowledge lies not just in its accumulation, but in its potential to be harnessed effectively to conquer the unknown. Although recent multimodal large language models (MLLMs) exhibit impressing multimodal capabilities, they often fail in rarely encountered domain-specific tasks due…

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2024

Domain Randomization-free Sim-to-Real : An Attention-Augmented Memory Approach for Robotic Tasks

Jia Qu, Shun Otsubo, Tomoya Yamanokuchi, Takamitsu Matsubara, Shotaro Miwa

IROS 2024poster

The sim-to-real gap, a long-standing challenge in the field of robotics, has garnered significant attention. Essentially, it is important to learn robust representation models that can be seamlessly applied in both simulation and real world. Traditional approaches like domain randomization have demo…

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