A5045613695- Robotics and Sensor-Based Localization
- Advanced Optical Sensing Technologies
- Soft Robotics and Applications
- Robot Manipulation and Learning
- 3D Surveying and Cultural Heritage
- Infrastructure Maintenance and Monitoring
- Robotic Path Planning Algorithms
- Micro and Nano Robotics
- BIM and Construction Integration
- Construction Project Management and Performance
- Occupational Health and Safety Research
- Modular Robots and Swarm Intelligence
- Planetary Science and Exploration
- CCD and CMOS Imaging Sensors
- Infrared Target Detection Methodologies
- Human-Automation Interaction and Safety
- Polymer Nanocomposite Synthesis and Irradiation
- Educational Robotics and Engineering
- Silicone and Siloxane Chemistry
- Consumer Packaging Perceptions and Trends
- Teleoperation and Haptic Systems
- Robotics and Automated Systems
- Advanced Vision and Imaging
United Kingdom Atomic Energy Authority
2019-2022
Culham Science Centre
2019-2022
Culham Centre for Fusion Energy
2021
The nuclear industry has some of the most extreme environments in world, with radiation levels and extremely harsh conditions restraining human access to many facilities. One method for enabling minimal exposure hazards under these is through use gloveboxes that are sealed volumes controlled performing handling. While allow operators perform complex handling tasks, they put at considerable risk from breaking confinement and, historically, serious examples including punctured gloves leading...
Operations in extreme and hostile environments, such as offshore oil gas production, nuclear decommissioning, facility maintenance, deep mining, space exploration, subsea applications, require the execution of sophisticated tasks. In robotic systems have advanced significantly over past years but still suffer from task failures caused by informational physical uncertainty highly unstructured nature environment exasperated time constraints imposed high radiation levels. Herein, a survey is...
Sensor technologies will play a key role in the success of Remote Maintenance (RM) systems for future fusion reactors. In this paper, three types sensor particular interest robotics field at moment are evaluated, namely: Colour-Depth cameras, LIDAR (Light Detection And Ranging), and Millimetre-Wave (mmWave) RADAR. The evaluation sensors is performed based on following criteria: data they provide, accuracy different distances, potential environmental resistance (namely gamma radiation)....
We provide the theory and system needed to create large-scale dense reconstructions for mobile-robotics applications: this stands in contrast object-centric dominant literature. Our BOR 2 G fuses data from multiple sensor modalities (cameras, lidars, or both) regularizes resulting 3D model. use a compressed structure, which allows us operate over large scale. In addition, because of paucity surface observations by camera lidar sensors, we regularize both two (camera depth maps) three...
Supervising and controlling remote robot systems currently requires many specialised operators to have knowledge of the internal state system in addition environment. For applications such as maintenance future nuclear fusion reactors, number robots (and hence supervisors) required maintain or decommission a facility is too large be financially feasible. To address this issue, work explores idea intelligently filtering information so that single user can supervise multiple safely. We...
Remote inspection of a complex environment is difficult, time consuming task for human operators to perform. The need manually avoid obstacles whilst considering other performance factors i.e. taken, joint effort and information gained represents significant challenges continuous operation. This paper proposes an autonomous robotic solution exploration unknown, using high DoF robot arm with eye in hand depth sensor. main contribution this work new strategy find the next best view by...