Kenji Sugimoto — accepted AI-conference papers

2021

Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto

IROS 2021poster

Behavioral cloning (BC) bears a high potential for safe and direct transfer of human skills to robots. However, demonstrations performed by human operators often contain noise or imperfect behaviors that can affect the efficiency of the imitator if left unchecked. In order to allow the imitators to…

Cited by 4 Source ↗Scholar ↗

2017

Local driving assistance from demonstration for mobility aids

James Poon, Yunduan Cui, Jaime Valls Miro, Takamitsu Matsubara, Kenji Sugimoto

ICRA 2017poster

Active assistive mobility systems are largely limited to a-priori mapped environments, whereas their reactive assistive counterparts are in general location independent and focus on the provision of collision avoidance in the immediate space surrounding the platform. This paper presents a framework…

Cited by 8 Source ↗Scholar ↗