In recent years, the field of mobile robot localization technology in Global Navigation
Satellite System (GNSS)-denied environments is a significant research focus …

This paper proposes a hybrid localization method that fuses Monte Carlo localization (MCL)
and convolutional neural network (CNN)-based end-to-end (E2E) localization. MCL is based …

Semantics can be leveraged in ego-vehicle localization to improve robustness and accuracy
because objects with the same labels can be correctly matched with each other. Object …

Autonomous mobile robots has been an active research recently. In Japan, the Tsukuba
Challenge is held annually since 2007 in order to realize autonomous mobile robots that …

The Real World Robot Challenge (RWRC), a technical challenge for mobile outdoor robots,
has robots automatically navigate a predetermined path over 1 km with the objective of …

In Real World Robot Challenge 2013, a mission was added that had robots search for a
person wearing clothes featuring unique colors. We focus on the layout of such clothes with …

This paper describes a self-localization method for autonomous mobile robots entered in the
Tsukuba Challenge 2015. One of the important issues in autonomous mobile robots is …

This paper introduces the robot that was developed for Tsukuba Challenge 2015. One of the
team's design goals was to implement a simple sensor configuration and control algorithm …

In describing real-world self-localization and targetsearch methods, this paper discusses a
mobile robot developed to verify a method proposed in Tsukuba Challenge 2014. The …

This study proposes an indoor self-localization for the estimation of the position and posture
of an instrument using multiple magnetic sensors. First, a magnetic map for the localization …