Multi-AUV planning of cooperative path represents the intelligence level of AUV formation
system, which has attracted significant attention due to its flexibility and robustness. To …

The microfluidic concentration gradient generator (μ CGG) is an important biomedical device
to generate concentration gradients (CGs) of biomolecules at the microscale. Nonetheless …

Path planning is not only the premise of underwater navigation and obstacle avoidance, but
also the core and key to improve the operation durability for the bionic robotic fish. In this …

Robot routing is one of the most important topics in mobile robotics. The goal is to find a
continuous path from an initial position to an end destination that is collision-free and …

This paper presents a new initialization method that combines adaptive visibility graphs and
the A* algorithm to improve the exploration, accuracy, and computing efficiency of hybrid …

This paper presents a multi-fidelity reduced-order model (MFROM) and global optimization
method for rapid and accurate simulation and design of microfluidic concentration gradient …

Most studies on path planning of robotic arm focus on obstacle avoidance at the end
position of robotic arm, while ignoring the obstacle avoidance of robotic arm joint linkage …

This paper presents a new initialization method for hybrid path planning that integrates
adaptive visibility graphs (AVG), Dijkstra's algorithm, and genetic algorithm (GA) on an edge …

In this paper, the global path planning research is carried out using particle swarm algorithm
in combination with the characteristics of unmanned boat navigation environment. To …

Path planning is an essential research topic in the navigation of mobile robots. Currently,
rapidly-exploring random tree star (RRT*) and its variants are known for their probabilistic …