A5101855067- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Indoor and Outdoor Localization Technologies
- Iron and Steelmaking Processes
- 3D Surveying and Cultural Heritage
- Human-Automation Interaction and Safety
- Autonomous Vehicle Technology and Safety
- Remote Sensing and LiDAR Applications
- Water Quality Monitoring Technologies
- Ergonomics and Musculoskeletal Disorders
- UAV Applications and Optimization
- Engineering Education and Technology
- Industrial Vision Systems and Defect Detection
- Advanced Vision and Imaging
- Underwater Vehicles and Communication Systems
- Space Exploration and Technology
- Tropical and Extratropical Cyclones Research
- Robotics and Automated Systems
- Aerospace Engineering and Energy Systems
- Soil Mechanics and Vehicle Dynamics
- Video Surveillance and Tracking Methods
- Technology and Human Factors in Education and Health
- Smart Materials for Construction
- Advanced Data Processing Techniques
- Coal and Coke Industries Research
Tokyo Institute of Technology
2024
University of Kansas
2022
Jet Propulsion Laboratory
2006
The sampling-based exploration strategy is the most effective for Unmanned Aerial Vehicles, Micro and other three-dimensional outdoor robots. Its objective to send robots cover new unexplored areas by planning an optimal destination path using utility function. Sampling-based Frontier Detection Next Best View theories are powerful among existing strategies autonomous exploring mapping techniques. This study proposes improved method indoor robot exploration. base algorithm's sampling task...
There have been many advancements and accomplishments over the last few years using human modeling for factors engineering analysis design of spacecraft. The key methods used this are motion capture computer generated models. focus paper is to explain currently at Kennedy Space Center (KSC), future plans spacecraft designs. <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>
Due to its numerous successful applications in industries like robotics, and autonomous navigation, 3D mapping for indoor environments has undergone much research development. The complexity of the environment, a real-time embedding issue, positioning mistakes robot system affect creation an accurate map indoor. Our proposes method improve construction performance by fusing data from Ultrasonic-based Indoor Positioning System (IPS), Inertial Measurement (IMU) Intel Realsense D435i camera,...
Pick-and-place robots are commonly used in modern industrial manufacturing. For complex devices/parts like camera modules smartphones, which contain optical parts, electrical components and interfacing connectors, the placement operation may not absolutely accurate, cause damage device under test during mechanical movement to make good contact for functions inspection. In this paper, we proposed an effective vision system including hardware algorithm enhance reliability of pick-and-place...
Over the years there have been several instances of damage to Space Shuttle Orbiter cold plates during removal and replacement avionics boxes. Thus, a process improvement team was created determine ways prevent this kind damage. From effort were many solutions including, protective covers, training, improved operations instructions. The focus paper is explain plate problem corrective actions for preventing future aerospace designs.
In recent years, 3D mapping for indoor environments has undergone considerable research and improvement because of its effective applications in various fields, including robotics, autonomous navigation, virtual reality. Building an accurate map environment is challenging due to the complex nature space, problem real-time embedding positioning errors robot system. This study proposes a method improve accuracy, speed, quality by fusing data from Inertial Measurement System (IMU) Intel...
Autonomous exploration is a new technology in the field of robotics that has found widespread application due to its objective help robots independently localize, scan maps, and navigate any terrain without human control. Up present, sampling-based strategies have been most effective for aerial ground vehicles equipped with depth sensors producing three-dimensional point clouds. Those methods utilize sampling task choose random points or make samples based on Rapidly-exploring Random Trees...