← Search

Shotaro Kojima

10 accepted papers

2022

Electrocardiogram Measurement and Emotion Estimation of Working Dogs

RA-L 2022

Physiological measurements of dogs' emotional states during human-animal interactions are essential for understanding the underlying biological relationship. Heart rate measured by electrocardiogram (ECG) can be used for the physiological measurement of emotional state. Soft disposable electrodes, w

Cited by 10SourceScholar
2022

LayoutSLAM: Object Layout based Simultaneous Localization and Mapping for Reducing Object Map Distortion

IROS 2022poster

There is an increasing demand for robots that can be substituted for humans in various tasks. Mobile robots are being introduced in factories, stores, and public facilities for carrying goods and cleaning. In factories and stores, desks and shelves are arranged such that the work and movement of per…

Cited by 5SourceScholar
2022

Loading an Autonomous Large-Scale Dump Truck: Path Planning Based on Motion Data from Human-Operated Construction Vehicles

IROS 2022poster

A large-scale dump truck that automatically transports earth and sand in cooperation with a human-operated backhoe is of interest to the construction industry. A human-operated dump truck generally drives slightly past the desired loading position and then backs up to it for loading the sediment. Th…

Cited by 2SourceScholar
2021

Semantic Mapping of Construction Site From Multiple Daily Airborne LiDAR Data

RA-L 2021

Semantic maps are an important tool to provide robots with high-level knowledge about the environment, enabling them to better react to and interact with their surroundings. However, as a single measurement of the environment is solely a snapshot of a specific time, it does not necessarily reflect t

Cited by 9SourceScholar
2020

Real-time Simulation of Non-Deformable Continuous Tracks with Explicit Consideration of Friction and Grouser Geometry

ICRA 2020poster

In this study, we developed a real-time simulation method for non-deformable continuous tracks having grousers for rough terrain by explicitly considering the collision and friction between the tracks and the ground. In the proposed simulation method, an arbitrary trajectory of a track is represente…

Cited by 6SourceScholar
2020

Stable Autonomous Spiral Stair Climbing of Tracked Vehicles Using Wall Reaction Force

RA-L 2020

In this letter, an autonomous spiral stair climbing method for tracked vehicles using the reaction force from side walls has been proposed. Spiral stairs are one of the most difficult terrains for tracked vehicles because of their asymmetrical ground shape and small turning radius. Tracked vehicles

Cited by 4SourceScholar
2020

Wall Deadlock Evasion Control Based on Rotation Radius Adjustment

RA-L 2020

This letter describes a wall deadlock evasion method for tracked vehicles. Wall deadlock is a phenomenon where the robot cannot rotate to the commanded direction when it collides with a wall, because the motion is restricted by the wall. The key idea behind solving this problem involves an adjustmen

Cited by 0SourceScholar
2018

Parking Spot Estimation and Mapping Method for Mobile Robots

RA-L 2018

Self-driving vehicles rely on detailed semantic maps of the environment for operating. In this letter, we propose a method to autonomously generate such a semantic map enriched with knowledge of parking spot locations. Our method detects and uses parked vehicles in the surroundings to estimate parki

Cited by 3SourceScholar
2016

3D graph based stairway detection and localization for mobile robots

IROS 2016poster

Perception is the main key in enabling robots to react to and interact with their environment. Particularly, for multi-floor operations, the robot must robustly detect and localize stairs to allow for safe climbing. In this paper, we develop a graph-based stairway detection method for point cloud da…

Cited by 35SourceScholar
2016

Motion control of tracked vehicle based on contact force model

IROS 2016poster

In large industrial plants, the inspection of production lines is a heavy and costly task that puts human inspectors at high risk. In order to overcome these challenges, we have developed an autonomous plant inspection system using a mobile tracked vehicle. In this paper, we propose an autonomous na…

Cited by 12SourceScholar