A behavior-based mobile robot with a visual landmark-recognition system

Li, Hao; Yang, Simon X.

doi:10.1109/tmech.2003.816818

Cited by 43 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Li and Yang, 73 a vision-based landmark recognition system is developed for mobile robot navigation. A GA-based search method for pattern recognition of digital images is proposed to recognize artificial landmarks by searching all the predefined patterns.…”

Section: Collision Avoidance Methodsmentioning

confidence: 99%

Review of wheeled mobile robot collision avoidance under unknown environment

Wang¹,

Zhang³

et al. 2021

Science Progress

View full text Add to dashboard Cite

Recently, the working scenes of the robot have been emerging as diversity and complexity with gradually mature of robotic control technology. The challenge of robot adaptability emerges, especially in complicated and unknown environments. Among the numerous researches on improving the adaptability of robots, aiming at avoiding collision between robot and external environment, obstacle avoidance has drawn much attention. Compared to the global circumvention requiring the environmental information that is known, the local obstacle avoidance is a promising method due to the environment is possibly dynamic and unknown. This study is aimed at making a review of research progress about local obstacle avoidance methods for wheeled mobile robots (WMRs) under complex unknown environment in the last 20 years. Sensor-based obstacle perception and identification is first introduced. Then, obstacle avoidance methods related to WMRs’ motion control are reviewed, mainly including artificial potential field (APF)-based, population-involved meta heuristic-based, artificial neural network (ANN)-based, fuzzy logic (FL)-based and quadratic optimization-based, etc. Next, the relevant research on Unmanned Ground Vehicles (UGVs) is surveyed. Finally, conclusion and prospection are given. Appropriate obstacle avoidance methods should be chosen based on the specific requirements or criterion. For the moment, effective fusion of multiple obstacle avoidance methods is becoming a promising method.

show abstract

Section: Collision Avoidance Methodsmentioning

confidence: 99%