A new distributed algorithm to find breadth first search trees
IEEE Transactions on Information Theory
An algorithm for planning collision-free paths among polyhedral obstacles
Communications of the ACM
Intelligent Vision Systems for Industry
Intelligent Vision Systems for Industry
Optimization and correction of the tool path of the five-axis milling machine
Mathematics and Computers in Simulation
Optimization and correction of the tool path of the five-axis milling machine
Mathematics and Computers in Simulation
A generalization of Dijkstra's shortest path algorithm with applications to VLSI routing
Journal of Discrete Algorithms
A study on three-dimensional vision system for machining setup verification
Robotics and Computer-Integrated Manufacturing
Precise global collision detection in multi-axis NC-machining
Computer-Aided Design
Snakes and ladders: Unbundling in a next generation world
Telecommunications Policy
Computers and Industrial Engineering
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Multi-axis machine production process optimization, automation and intelligence are the key codes of today's scientific community. Rapid decision and intelligence are becoming more important for precise and safe virtual and real production. Multi-axis CNC production is a high speed machining process that demands less human intervention and high intelligence, to deal with any uncomfortable situation regarding collisions. Current CAM softwares as well as CNC machines are able to detect collisions but are unable to avoid these collisions automatically. This paper aims to make the CAD-CAM/CNC multi-axis safe trajectory generation process optimal, intelligent and automatic, using vision based image processing by the Snakes and Ladders game analogy. Applying the Snakes and Ladders analogy on machine virtual scene (trajectory preparation) and real scene (during production) images gives promising methodology for safe and efficient trajectory generation while avoiding collisions named Snakes and Ladders Analogy for Production Trajectory (SLAPT). Our Rectangular Enveloped Safe and Efficient Trajectory (RESET) algorithm, based on the same principle of the SLAPT methodology is also discussed in this paper. Results include some applications of algorithms on virtual and real machine scene images for the safe and optimized trajectory of tools. This paper focuses on intelligence and optimization of 2D non-functional transversal trajectories of 2-axis machines for production and preparation processes as an initial effort towards the complex safe trajectory generation process (mill-turn).