Takemitsu Mori — accepted AI-conference papers

2025

Sketch-MoMa: Teleoperation for Mobile Manipulator via Interpretation of Hand-Drawn Sketches

Kosei Tanada, Yuka Iwanaga, Masayoshi Tsuchinaga, Yuji Nakamura, Takemitsu Mori, Remi Sakai +1

ICRA 2025

To use assistive robots in everyday life, a remote control system with common devices, such as 2D devices, is helpful to control the robots anytime and anywhere as intended. Hand-drawn sketches are one of the intuitive ways to control robots with 2D devices. However, since similar sketches have diff

Cited by 4 Source ↗Scholar ↗

2015

Detection of localization failure using logistic regression

Akinobu Fujii, Minoru Tanaka, Hidenori Yabushita, Takemitsu Mori, Tadashi Odashima

IROS 2015poster

Monte Carlo localization (MCL) is a sample-based approach for representing probability density for the pose of a robot. MCL is widely used for mobile robots because of its robustness with respect to sensor noise. On the other hand, MCL can fail to estimate a pose of a robot if objects block measurin…

Cited by 14 Source ↗Scholar ↗