Humanoid robots have great potential to perform various human-level skills. These skills
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …

Learning-based methods have achieved strong performance for quadrupedal locomotion.
However, several challenges prevent quadrupeds from learning helpful indoor skills that …

Vision language models (VLMs) can simultaneously reason about images and texts to tackle
many tasks, from visual question answering to image captioning. This paper focuses on map …

The application of vision-language models (VLMs) has achieved impressive success in
various robotics tasks. However, there are few explorations for these foundation models …

Large language models can provide a more detailed contextual understanding of a scene
beyond what computer vision alone can provide, which have implications for robotics and …

Real-life robot navigation involves more than just reaching a destination; it requires
optimizing movements while addressing scenario-specific goals. An intuitive way for …

Real-life robot navigation involves more than simply reaching a destination; it requires
optimizing movements while considering scenario-specific goals. Humans often express …

Legged robots are of great interest to the robotics community, due to their capacity for agile
movements in diverse environments. Much of the recent research on legged robots focuses …

逆強化学習は模倣学習のアプローチの一つで, エキスパートの方策 πE を実行した際に得られる
状態と行動のデータを用いて, エキスパートの方策が最大化しているであろう未知の報酬関数を推定 …