The use of mobile robots is growing every day. Path planning algorithms are needed to
allow the coordination of several robots, and make them travel with the least cost and …

The working environment of fruit-picking robots is very complicated. Generally, there are a
large number of obstacles such as branches, immature crops, etc. Besides, the agricultural …

This paper presents a faster RRT-based path planning approach for regular 2-dimensional
(2D) building environments. To minimize the planning time, we adopt the idea of biasing the …

The Autonomous Air Combat technique has been a lasting research topic for decades.
However, no complete solutions seem to have appeared because of the highly dynamic and …

We consider automated vehicles operation in constrained environments, ie the automated
parking (AP). The core of AP is formulated as a path planning problem, and Rapidly …

Additive manufacturing (AM) has enabled the creation of a near infinite set of functionally
graded materials (FGMs). One limitation on the manufacturability and usefulness of these …

The autonomous navigation of mobile robots in the industrial environment has received
more and more attention. However, how to ensure the safe and smooth movement of robots …

Sampling-based motion planners rely on incre-mental densification to discover
progressively shorter paths. After computing feasible path ξ between start x_s and goal x_t …

Rigid body disentanglement puzzles are challenging for both humans and motion planning
algorithms because their solutions involve tricky twisting and sliding moves that correspond …

We integrate sampling-based planning techniques with funnel-based feedback control to
develop KDF, a new framework for solving the kinodynamic motion-planning problem via …