A team consisting of Gunma University and Ryomo Systems Co., Ltd. is developing autonomous robots through the Tsukuba Challenge.
Current research addresses autonomous navigation, object detection, and self-localization using advanced sensing and control technologies.
The robot is equipped with sensors such as 3D LiDAR, depth cameras, GNSS, and IMU, enabling accurate environmental perception and mapping.
Key approaches include ROS-based navigation and LiDAR-based localization.
Additional developments include image-based object detection, semantic segmentation, GNSS integration, and improved odometry accuracy.
The system successfully completed the Tsukuba Challenge 2024, demonstrating its robustness and performance.