Mobile robot

SLAM (Simultaneous Localization and Mapping) system with Four RGB-D cameras

A SLAM (Simultaneous Localization and Mapping) system using four RGB-D cameras (Microsoft Kinect) has been developed. This system captures 3D environmental structures in real-time as the robot moves. For precise localization, CPS-SLAM (Collaborative Probabilistic SLAM) is utilized, and the robot's position is detected by a parent robot using a total station (laser range finder).

SLAM using four kinect cameras photo System configuration photo Measurement results

Papers

Fast 3D localization for mobile robot using Normal Distributions Transform

We propose an efficient 3D global localization and tracking technique for mobile robots in large-scale environments using 3D geometrical maps and RGB-D cameras. With the rapid development of high-resolution 3D range sensors, high-speed processing of large amounts of 3D data is becoming an urgent challenge in robotic applications such as localization. To tackle this problem, the proposed technique utilizes a Normal Distributions (ND) voxel representation. First, a 3D geometrical map represented by point clouds is converted into several ND voxels, and local features are extracted and stored as an environmental map. Additionally, range data captured by an RGB-D camera is also converted into ND voxels, and local features are calculated. For global localization and tracking, the similarity of ND voxels between the environmental map and the sensory data is examined according to the local features or Kullback-Leibler divergence, and optimal positions are determined within a particle filter framework.

Kinect color image Kinect depth image Localization process

Papers

Quadcopter Helicopter

Spatial change detection using voxel classification by normal distributions transform

Detection of spatial changes around a robot is essential in various robotic applications, such as search and rescue, security, and surveillance. This paper proposes a fast spatial change detection technique for a mobile robot using an on-board RGB-D/stereo camera and a highly precise 3D map created by a 3D laser scanner. This technique first converts point clouds from the map and measured data into grid data (ND voxels) using normal distribution transformation and classifies the ND voxels into three categories. The voxels from the map and measured data are then compared according to these categories and the features of the ND voxels. Overlapping and voting techniques are also introduced to enhance the robustness of spatial change detection. We conducted experiments using a mobile robot equipped with real-time range sensors to validate the performance of the proposed real-time localization and spatial change detection techniques in both indoor and outdoor environments.

photo Mobile robot with Kinect Detected differences ICRA 2019 Video

Papers

Tour guide robot and personal mobility vehicle

We are developing a tour guide robot and a personal mobility vehicle that utilize not only their embedded sensors but also surrounding sensors placed along streets.

Personal vehicle Wheelchair-type personal vehicle
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Tour guide robot, Qurin
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Tour guide robot, Qurin 2
Tuor guide robot Navigation using QZSS and 5G
Real time transmission of 4K 360 degrees video via 5G network Navigation using LiDAR and 5G
Tour guide experiment in theme park Guide experiment in hospital

Papers

Autonomous lawn-mowing robot

We develop an autonomous lawn-mowing robot equipped with QZSS MICHIBIKI for centimeter-level positioning using CLAS and 3D-LiDAR for obstacle detection. For automatic planning and motion control toward multiple targets, we adopted Navigation2 in ROS2.

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1st model autonomous lawn-mowing robot
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2nd model autonomous lawn-mowing robot

Papers

Automatic illuminance measurement multiple robots

We develop an automatic illuminance measurement multi-robot to check lighting conditions in large warehouses. This robot uses advanced sensors and algorithms to ensure optimal illuminance levels across extensive areas, promoting energy efficiency and safety.

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Measurement by automatic illuminance measurement multiple robots
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Automatic illuminance measurement multiple robots
Illuminance measurement Illuminance measurement

Papers

Beach cleaning robot

We develop a beach cleaning robot to collect microplastic debris. The aim is to tackle the pervasive issue of microplastic pollution in marine environments, ensuring cleaner and safer beaches for all living beings.

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Beach cleaning robot
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Beach measurement robot
Beach cleaning Beach cleaning

Papers

  • 海洋破砕プラスチックごみ回収ロボットの開発
    宇野 光輝, 倉爪 亮
    第23回計測自動制御学会システムインテグレーション部門講演会 SI2022, 1A2-D04, 2022.12.14-16 [pdf][bibtex]
  • 海洋破砕プラスチックごみ回収ロボットシステムの開発 -レーザースキャナの反射輝度によるごみ検出とロボットの誘導-
    有瀬 昌矢, 松本 耕平, 倉爪 亮
    第23回計測自動制御学会システムインテグレーション部門講演会 SI2022, 1A2-D11, 2022.12.14-16 [pdf][bibtex]
  • 海洋破砕プラスチックごみ回収機構の開発
    宇野 光輝, 倉爪 亮
    第22回計測自動制御学会システムインテグレーション部門講演会 SI2021, 1H4-03, 2021.12.15-17 [pdf][bibtex]
  • 海洋破砕プラスチックごみ回収ロボットシステムの開発 レーザスキャナの反射輝度を用いた海岸環境の識別
    有瀬 昌矢, 倉爪 亮
    日本機械学会ロボティクスメカトロニクス講演会2021, 1P2-G09, 2021.6.6-8
    [pdf][bibtex]

Construction robot

We develop a retrofit-type remotely controlled backhoe, a compaction evaluation method for vibratory rollers using the multi-sensor terminal "Sensor Pod," and a Cyber Physical Platform for construction sites called "ROS2-TMS for Construction."

A retrofit-type remotely controlled backhoe photo
Compaction evaluation experiment by vibratory rollers using Sensor Pods

Papers

  • Evaluation of ground stiffness using multiple accelerometers on the ground during compaction by vibratory rollers
    Yusuke Tamaishi, Kentaro Fukuda, Kazuto Nakashima, Ryuichi Maeda, Kohei Matsumoto, Ryo Kurazume
    40th International Symposium on Automation and Robotics in Construction (ISARC 2023), pp. ,doi:, Chennai, 2023.7.4-7, 2023
    [pdf][bibtex]
  • 土木工事における地盤剛性評価・安全管理のための分散型センサポッドの開発
    福田 健太郎, 中嶋 一斗, 前田 龍一, 松本 耕平, 倉爪 亮
    第23回ロボティクスシンポジア, , 2023.3.15-16 [pdf][bibtex]
  • レトロフィット型バックホウ遠隔操縦システムの開発 -第2報 操作性の向上と後付センシングシステムの開発-
    柴田 航志, 西浦 悠生, 倉爪 亮
    第23回計測自動制御学会システムインテグレーション部門講演会 SI2022, 3P2-G17, 2022.12.14-16 [pdf][bibtex]
  • 多点同期振動データの波形歪みに基づく地盤剛性評価手法の提案
    福田 健太郎, 中嶋 一斗, 倉爪 亮
    第20回 建設ロボットシンポジウム, P2-2, 2022.8.24-25
    [pdf][bibtex]
  • 多様な環境に適応しインフラ構築を革新する協働AIロボット(土工を革新するハードウエアと現場を俯瞰するセンサポッドシステムの紹介)
    永谷圭司, 大須賀公一, 竹囲年延, 倉爪亮
    第4回 i-Constructionの推進に関するシンポジウム, pp.115-118, 2022.7.11
    [pdf][bibtex]
  • レトロフィット型バックホウ遠隔操縦システムの開発
    西浦 悠生, 中嶋 一斗, 倉爪 亮
    日本機械学会ロボティクスメカトロニクス講演会2022, 1P1-C07, 2022.6.1-4
    [pdf][bibtex]
  • 転圧地盤評価のための分散型センサポッドの開発 -第2 報多点同期振動データの波形歪みに基づく地盤剛性の定量化-
    福田健太郎, 中嶋 一斗, 倉爪 亮
    日本機械学会ロボティクスメカトロニクス講演会2022, 1A1-E04, 2022.6.1-4
    [pdf][bibtex]
  • 転圧地盤評価のための分散型センサポッドの開発
    福田 健太郎, 中嶋 一斗, 倉爪 亮
    第22回計測自動制御学会システムインテグレーション部門講演会 SI2021, 3H4-05, 2021.12.15-17 [pdf][bibtex]