Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rout, Amruta; Kavalli, Kiran; Ramegowda, Ravikumar Title A name given to the resource Path Planning of KR6 R900 Vision Sensor Assisted KUKA Industrial Robot for Pick and Place Application Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1358 LNNS;pp.277-293 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-7614-9_21" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-7614-9_21</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021314096?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021314096?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rout A., Department of Mechanical and Automobile Engineering, Christ University, Bangalore, India; Kavalli K., Department of Mechanical and Automobile Engineering, Christ University, Bangalore, India; Ramegowda R., Department of Mechanical and Automobile Engineering, Christ University, Bangalore, India Description An account of the resource In this paper, a new multi-objective functions comprising of squared values of joint jerk, acceleration, torque rate and total travel time subjected to kinematic and dynamic constraints have been formulated for achieving optimal trajectory for industrial applications. Then four different multi-objective optimization algorithmsthe multi-objective particle swarm optimization technique (MOPSO), the multi-objective genetic algorithm (MOGA), non-dominated sorting genetic algorithm-II (NSGA-II) and the proposed multi-objective enhanced teaching learning-based optimization (MOETLBO)have been utilized to obtain the optimal solution for trajectory planning. Finally, the experimental validation of the proposed technique and the summarization of simulation results have been done as a comparative study of the four different metaheuristic techniques for pick and place application of KR6 R900 KUKA industrial manipulator. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource EMOTLBO; Industrial robot; Multi-objective optimization; Path planning Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981967613-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online