Adaptive path planning of novel complex parts for industrial spraying operations
نویسندگان
چکیده
منابع مشابه
Evolutionary Path Planning Algorithm for Industrial Robots
This paper proposed a new methodology to solve collision free path planning problem for industrial robot using genetic algorithms. The method poses an optimization problem that aims to minimize the significant points traveling distance of the robot. The behaviour of more two operational parameters – the end effector traveling distance and computational time – is analysed. This algorithm is able...
متن کاملTurn-Mill Tool Path Planning and Manufacturing Cost Analysis for Complex Parts Machining
This paper presents the techniques of tool path planning and an activity-based manufacturing cost analysis for the simultaneous turn-mill machining. The new turn-mill machine tools allow the parallel processing of both multi-axis milling and turning operations simultaneously. Turn-mill machine tools have been identified to be able to significantly reduce the total setup time and manufacturing c...
متن کاملDisassembly Path Planning for Objects with Articulated Parts
Sampling-based path planning algorithms are powerful tools for computing disassembly motions. This paper presents a variant of the RRT algorithm particularly devised for the disassembly of objects with articulated parts. Configuration parameters generally play two different roles in this type of problems: some of them are essential for the disassembly task, while others only need to move if the...
متن کاملAdaptive Motion Planning for Complex Planning Problems
Motion planning has been used to solve problems of high complexity in both robotic and biological domains. In robotics, the topology of the planning environment often drives the problem’s complexity. Environments can consist of many different regions each of which may be well suited to a specific planning approach. In biological domains, problem complexity is primarily driven by the size of the...
متن کاملPath planning for grasping operations using an adaptive PCA-based sampling method
The planning of collision-free paths for a hand-arm robotic system is a difficult issue due to the large number of degrees of freedom involved and the cluttered environment usually encountered near grasping configurations. To cope with this problem, this paper presents a novel importance sampling method based on the use of Principal Component Analysis (PCA) to enlarge the probability of finding...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Production & Manufacturing Research
سال: 2020
ISSN: 2169-3277
DOI: 10.1080/21693277.2020.1792374