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Multi-object handling for robotic manufacturing
- Source :
- IECON
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- The purpose of this work is to move a step toward the automation of industrial plants through full exploitation of autonomous robots. A planning algorithm is proposed to move different objects in desired configurations with heterogeneous robots such as manipulators, mobile robots and conveyor belts. The proposed approach allows different objects to be handled by different robots simultaneously in an efficient way and avoiding collisions with the environment and self-collisions between robots. In particular, the integrated system will be capable of planning paths for a set of objects from various starting points in the environment (e.g. shelves) to their respective final destinations. The proposed approach unifies the active (e.g., grasping by a hand) and passive (e.g., holding by a table) steps involved in moving the objects in the environment by treating them as end-effectors with constraints and capabilities. Time varying graphs will be introduced to model the problem for simultaneous handling of objects by different end-effectors. Optimal exploration of such graphs will be used to determine paths for each object with time constraints. Results will be validated through simulations.
- Subjects :
- 0209 industrial biotechnology
Engineering
business.industry
Distributed computing
Control engineering
Mobile robot
Robotics
02 engineering and technology
Motion control
Object (computer science)
Automation
Set (abstract data type)
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
Robot
Table (database)
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
- Accession number :
- edsair.doi.dedup.....86d282fdc22ba3629c5e56c2024902d1
- Full Text :
- https://doi.org/10.1109/iecon.2016.7793936