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Robot Real-Time Motion Planning and Collision Avoidance in Dynamically Changing Environments
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jin-Xue, Zhang |
| Copyright Year | 2011 |
| Abstract | Research in motion planning has been striving to develop faster and faster planning algorithms in order to be able to address a wider range of applications. The paper provides a literature review of previous works on robot motion planning and collision avoidance. A study on a novel force field method for robot motion planning has been given. Firstly, force field method is present, then, subgoal-guided force field method is proposed, finally, simulations on robot motion planning are carried out in the Player/Stage platform. The Subgoal-Guided Force Field method is suitable for real-time motion planning and collision avoidance in partially known and dynamically changing environments. Simulation results verify the feasibility and performance of the proposed methods. |
| Starting Page | 325 |
| Ending Page | 334 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/978-3-642-24282-3_44 |
| Alternate Webpage(s) | https://page-one.springer.com/pdf/preview/10.1007/978-3-642-24282-3_44 |
| Alternate Webpage(s) | https://doi.org/10.1007/978-3-642-24282-3_44 |
| Journal | AICI 2011 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
