Path planning research for mobile robots in dynamic environments
Proceedings of SPIE - The International Society for Optical Engineering
; 12462, 2023.
Article
in English
| Scopus | ID: covidwho-20245283
ABSTRACT
At present, due to the COVID-19, China's social and economic development has slowed down. Some life service e-commerce platforms have successively launched "contactless delivery" services, which can effectively curb the spread of the epidemic. Robot distribution is the current mainstream, but robots are different from people and need to have accurate program settings. Both path planning and obstacle avoidance are currently top issues. This requires the mobile robot to successfully arrive at the destination while minimizing the impact on the surrounding environment and pedestrians, and avoiding encroachment on the movement space of pedestrians. Therefore, the mobile robot needs to be able to actively avoid moving pedestrians in a dynamic environment, in addition to avoiding static obstacles, and safely and efficiently integrate into the pedestrian movement environment. In this paper, the path planning problem of unmanned delivery robot is studied, and the path of mobile robot in the crowd is determined by global planning and local planning, and the matlab simulation is used for verification. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.
Dynamic Environment; Global path planning; Local path planning; Mobile robots; Obstacle avoidance; Collision avoidance; MATLAB; Motion planning; Robot programming; 'current; Commerce platforms; Contact less; Delivery service; Dynamic environments; E- commerces; Local path-planning; Obstacles avoidance; Social and economic development
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Proceedings of SPIE - The International Society for Optical Engineering
Year:
2023
Document Type:
Article
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