With the continued development of artificial intelligence technology, unmanned surface
vehicles (USVs) have attracted the attention of countless domestic and international …

In recent years, as intelligent ship-navigation technology has advanced, the challenge of
accurately modeling and predicting the dynamic environment and motion status of ships has …

The obstacle avoidance system of a drone affects the quality of its flight path. The artificial
potential field method can react quickly when facing obstacles; however, the traditional …

Ship collision avoidance is critical to maritime safety, but maritime traffic patterns are
becoming increasingly complex as the number of vessels of all types increases. Therefore …

The path planning of a measuring robot is critical to automatic measurement, but it is hard to
solve a global optimal path solution when it comes to scanning a complex body with many …

In this paper, combined with the improved artificial potential field (IAPF) method and the
nonlinear model predictive control (NMPC) algorithm, a collision avoidance decision-making …

In order to better meet the practical application needs of mobile robots, this study
innovatively designs an autonomous obstacle avoidance and trajectory planning control …

Autonomous collision avoidance (CA) for maritime autonomous surface ships (MASSs) in
complex navigational environments requires accurate environment modelling and efficient …

The motion of an autonomous ship is different from that of ground and aerial robots due to its
maneuvering and environmental constraints. As a result, many techniques have been …

Continuum robot has become a research hotspot due to its excellent dexterity, flexibility and
applicability to constrained environments. However, the effective, secure and accurate path …