In a three-dimensional (3D) disaster rescue mission environment, multi-drone assignments and path planning are challenging. Aiming at this problem, assignment method based on adaptive genetic algorithms (AGA) using sine–cosine particle swarm optimization (SCPSO) proposed. First, an original 3D digital terrain model is constructed. Second, common threat sources in environments modeled, including...

Considering the complexity of three-dimensional environment and flexibility quadrotor aircraft, using traditional A* algorithm for global path planning has disadvantages less search direction, more expanded nodes, a longer path. Therefore, an improved is proposed, which from two aspects. Firstly, two-layer extended neighborhood strategy can increase direction make better use aircraft. Secondly,...

Path planning quickly becomes computationally hard as the dimensionality of the state-space increases. In this paper, we present a planning algorithm intended to speed up path planning for high-dimensional state-spaces such as robotic arms. The idea behind this work is that while planning in a highdimensional state-space is often necessary to ensure the feasibility of the resulting path, large ...

Biped robots have specific dynamical constraints and stability problems which reduce significantly their motion range. In these conditions, motion planning used for mobile robots cannot be applied to biped robots. In this paper, the path planning problem is seen as finding a sequence of footholds in a 3D environment, keeping robot stability, motion continuity and working within the structural c...