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A climbing autonomous robot for inspection applications in 3D complex environments
| Content Provider | Scilit |
|---|---|
| Author | Balaguer, C. Giménez, A. Pastor, J. M. Padrón, V. M. Abderrahim, M. |
| Copyright Year | 2000 |
| Description | Often inspection and maintenance work involve a large number of highly dangerous manual operations, especially within industrial fields such as shipbuilding and construction. This paper deals with the autonomous climbing robot which uses the “caterpillar” concept to climb in complex 3D metallic-based structures. During its motion the robot generates in real-time the path and grasp planning in order to ensure stable self-support to avoid the environment obstacles, and to optimise the robot consumption during the inspection. The control and monitoring of the robot is achieved through an advanced Graphical User Interface to allow an effective and user friendly operation of the robot. The experiments confirm its advantages in executing the inspection operations. |
| Related Links | https://e-archivo.uc3m.es/bitstream/10016/7008/1/climbing_balaguer_R_2000.pdf https://core.ac.uk/download/pdf/29400713.pdf https://www.cambridge.org/core/services/aop-cambridge-core/content/view/F4B475ED6407423D5D0D3DAACEC56191/S0263574799002258a.pdf/div-class-title-a-climbing-autonomous-robot-for-inspection-applications-in-3d-complex-environments-div.pdf |
| Ending Page | 297 |
| Page Count | 11 |
| Starting Page | 287 |
| ISSN | 02635747 |
| e-ISSN | 14698668 |
| DOI | 10.1017/s0263574799002258 |
| Journal | Robotica |
| Issue Number | 3 |
| Volume Number | 18 |
| Language | English |
| Publisher | Cambridge University Press (CUP) |
| Publisher Date | 2000-05-01 |
| Access Restriction | Open |
| Subject Keyword | Robotica Climbing Robots Autonomous Systems Robot Path Planning Optimum Planning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Artificial Intelligence Rehabilitation Control and Systems Engineering Mechanical Engineering Computational Mechanics Modeling and Simulation Computer Science Applications Computer Vision and Pattern Recognition Software |