Abstract
In this paper a path planning algorithm for robots in industrial applications is presented. The algorithm is based on the authors’ previous works, which have been improved by introducing the Manipulability index to calculate the configurations, and in addition the work environment model has also been upgraded. From two given configurations — the initial and final ones — a configuration space is obtained. The robot configurations are expressed in terms of fully Cartesian co-ordinates and are obtained by solving nonlinear optimisation problems between adjacent configurations. A variety of constraints are considered to take into account different real operation problems. The path is selected from a weighted graph associated to the map of feasible robot configurations. A search algorithm has been used to minimise an objective function in order to obtain a sequence of robot configurations between the initial and final ones.
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References
Angeles, J. (1997). Fundamentals of Robotic Mechanical Systems. Springer-Verlag.
Barraquand, J., and Latombe, J-C. (1991). Robot Motion Planning: A Distributed Representation Approach. International Journal of Robotics Research 10 (6): 628–649.
Latombe, J-C. (1999). Motion Planning: A Journey of Robots, Molecules, Digital Actors, and Other Artefacts. International Journal of Robotics Research 18 (11): 1119–1128.
Li, Z.J., and Trabia, M. B. (1996). Adaptative Path Planning and Obstacle Avoidance for a Robot with a Large Degree of Redundancy. Journal of Robotic Systems 13 (3): 163–176.
Kavraki, L.E., Svestka, P., Latombe, J-C., and Overmans, M. (1996). Probabilistic Roadmaps for Planning in High-Dimensional Configuration Spaces IEEE Transactions on Robotics and Automation 12 (4): 566–580.
Valero, F., Mata, V., Cuadrado, J.I., and Ceccarelli, M. (1997). A formulation for path planning of manipulators in complex environments by using adjacent configurations. Advanced Robotics 11 (1): 33–56.
Valero, F., Mata, V., and Ceccarelli, M. (2000). Path planning in complex environments for industrial robots with additional degrees of freedom. Romany 2000
Yoshikawa, T. (1990). Foundations of Robotics: Analysis and Control. The MIT Press.
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© 2002 Springer-Verlag Wien
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Valero, F., Mata, V., Rubio, F. (2002). Path Planning Algorithm Among Obstacles by Considering a Manipulability Index. In: Bianchi, G., Guinot, JC., Rzymkowski, C. (eds) Romansy 14. International Centre for Mechanical Sciences, vol 438. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2552-6_25
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DOI: https://doi.org/10.1007/978-3-7091-2552-6_25
Publisher Name: Springer, Vienna
Print ISBN: 978-3-7091-2554-0
Online ISBN: 978-3-7091-2552-6
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