Path planning is a crucial algorithmic approach for designing robot behaviors. Sampling-based approaches, like rapidly exploring random trees (RRTs) or probabilistic roadmaps, are prominent solutions path problems. Despite its exponential convergence rate, RRT can only find suboptimal paths. On the other hand, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://ww...

A real–time surface interpolator is developed, to machine a family of swept surfaces directly from their high–level procedural definitions. All the computations required for machining are performed in real time based on the exact surface geometry, including tool path planning, tool path interpolation, tool offsetting, and tool path step–over to achieve a prescribed scallop height. A G–code comm...

The problem of automatic collision-free path planning is central to mobile robot applications. An approach to automatic path planning based on a quadtree representation is presented. Hierarchical path-searching methods are introduced, which make use of this multireso-lution representation, to speed up the path planning process considerably. The applicability of this approach to mobile robot pat...

We explore efficient optimization of toolpaths based on multiple criteria for large instances 3D printing problems. first show that the minimum turn cost problem is NP-hard, even when region a simple polygon. develop SFCDecomp, space filling curve decomposition framework to solve problems efficiently by solving these subproblems independently. For Buddha model, our builds over total 799,716 nod...

In view of the disadvantages existing planning methods used in CCOS techniques, such as low efficiency and workpieces containing obvious mid-frequency error after polishing, a new tool-path method based on improved Prim algorithm is presented. The core idea consists following steps: surface data reading, mesh generation, distribution resident points determining, polishing path generating. Then,...