Editorial:
Special Issue on Real World Robot Challenge in Tsukuba
Yoshihiro Takita, Shin’ichi Yuta, Takashi Tsubouchi, and Koichi Ozaki
Professor, Department of Computer Science, National Defense Academy of Japan
1-10-20 Hashirimizu, Yokosuka, Kanagawa 239-8686, Japan
Professor, SIT Research Laboratories, Shibaura Institute of Technology
3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan
Professor, Faculty of Engineering, Information and Systems, University of Tsukuba
1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
Professor, Department of Mechanical Systems Engineering, Graduate School of Engineering, Utsunomiya University
7-1-2 Yoto, Utsunomiya-City, Tochigi 321-8585, Japan
Tsukuba Challenge, which started in 2007, has contributed to the development of novel control technologies for autonomous navigation. The second stage of this challenge was completed in 2017, and now, the time is ripe for exploring new ideas and avenues. This is the fifth Special Issue on Real World Robot Challenge in Tsukuba, and it seems that the technological elements required for autonomous navigation are almost complete. However, it is obvious that such navigation capabilities are still at a significantly lower level of development compared to human capabilities. The need for automatic and self-driving vehicles has increased rapidly in recent years; many companies and researchers have been making great strides in research and development in the field of automatic driving. The Tsukuba Challenge pursues and encourages both student education and advanced research and development, focusing on automatic driving as an application technology. The essential capabilities required for a robot to reach the designated goal in the Tsukuba Challenge are self-localization and obstacles avoidance, and many studies have been conducted on these features. To complete the designated task, unification of these technologies and other qualities such as searching for persons, traveling on crosswalks, and recognizing traffic signals is required.
This special issue concentrates on control technologies of autonomous mobile robots and expects to contribute toward future studies and development in this field.
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