Daisuke Kuroiwa — accepted AI-conference papers

2016

A Novel Approach to Increase the Locomotion Performance of Mobile Robots in Fields With Tall Grasses

Katsuaki Tanaka, Hiroyuki Ishii, Daisuke Kuroiwa, Yuya Okamoto, Eric Mossor, Hikaru Sugita +4

RA-L 2016

One of the main problems faced by land-based mobile robots is their locomotion performance on rough outdoor terrain. We focused on the navigation of grassy areas such as riversides and forests. These have many types of obstacles, which make robot locomotion difficult. Several studies have been condu

Cited by 5 Source ↗Scholar ↗

2015

Novel method of estimating surface condition for tiny mobile robot to improve locomotion performance

Katsuaki Tanaka, Hiroyuki Ishii, Yuya Okamoto, Daisuke Kuroiwa, Yusaku Miura, Daiki Endo +5

IROS 2015poster

Environment recognition is an effective way for a mobile robot to move across rough terrain. In particular, this makes it possible to prevent a tiny mobile robot from getting stuck or turning over. Several studies have been conducted on environment recognition using a laser range finder or camera. H…

Cited by 10 Source ↗Scholar ↗