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Dynamic Strategy Planning of Humanoid Robots Using Glowworm-Based Optimization
| Content Provider | Scilit |
|---|---|
| Author | Kumar, Priyadarshi Biplab Parhi, Dayal R. Muni, Manoj Kumar Pandey, Krishna Kant Chhotray, Animesh Pradhan, Diana |
| Copyright Year | 2020 |
| Description | SUMMARY In this paper, a novel dynamic navigational planning strategy is proposed for single as well as multiple humanoids in intricate environments on a glowworm-based optimization method. The sensory information regarding the obstacle distances and target information are supplied as inputs to the navigational model. The essential turning angle is generated as the output of the controller to avoid obstacles present in the environment and reach the target location with ease. The proposed model is certified in a V-REP simulation software, and the simulation results are authenticated in a real-time setup arranged under testing conditions. |
| Related Links | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/82D7C390F83A92E058B7346A7EF8522B/S0263574720000892a.pdf/div-class-title-dynamic-strategy-planning-of-humanoid-robots-using-glowworm-based-optimization-div.pdf |
| Ending Page | 1063 |
| Page Count | 13 |
| Starting Page | 1051 |
| ISSN | 02635747 |
| e-ISSN | 14698668 |
| DOI | 10.1017/s0263574720000892 |
| Journal | Robotica |
| Issue Number | 6 |
| Volume Number | 39 |
| Language | English |
| Publisher | Cambridge University Press (CUP) |
| Publisher Date | 2021-06-01 |
| Access Restriction | Open |
| Subject Keyword | Robotica Cybernetical Science Glowworm Optimization |
| 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 |
