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Kazuto Nakashima

7 accepted papers

2026

DRUM: Diffusion-Based Raydrop-Aware Unpaired Mapping for Sim2Real LiDAR Segmentation

ICRA 2026poster

LiDAR-based semantic segmentation is a key component for autonomous mobile robots, yet large-scale annotation of LiDAR point clouds is prohibitively expensive and time-consuming. Although simulators can provide labeled synthetic data, models trained on synthetic data often underperform on real-world…

2025

Fast LiDAR Data Generation with Rectified Flows

ICRA 2025

Building LiDAR generative models holds promise as powerful data priors for restoration, scene manipulation, and scalable simulation in autonomous mobile robots. In recent years, approaches using diffusion models have emerged, significantly improving training stability and generation quality. Despite

Cited by 10SourcecodeScholar
2020

Virtual IR Sensing for Planetary Rovers: Improved Terrain Classification and Thermal Inertia Estimation

RA-L 2020

Terrain classification is critically important for Mars rovers, which rely on it for planning and autonomous navigation. On-board terrain classification using visual information has limitations, and is sensitive to illumination conditions. Classification can be improved if one fuses visual imagery w

Cited by 10SourceScholar
2017

Feasibility study of IoRT platform “Big Sensor Box”

ICRA 2017poster

This paper proposes new software and hardware platforms named ROS-TMS and Big Sensor Box, respectively, for an informationally structured environment. We started the development of a management system for an informationally structured environment named Town Management System (TMS) in the Robot Town…

Cited by 14SourceScholar
2017

Previewed reality: Near-future perception system

IROS 2017poster

This paper presents a near-future perception system named “Previewed Reality”. The system consists of an informationally structured environment (ISE), an immersive VR display, a stereo camera, an optical tracking system, and a dynamic simulator. In an ISE, a number of sensors are embedded, and infor…

Cited by 7SourceScholar