Fuzzy Modeling and Control for Intention Recognition in Human-Robot Systems
2016 (English)In: Proceedings of the 8th International Joint Conference on Computational Intelligence (IJCCI 2016), Setúbal, Portugal: SciTePress, 2016, Vol. 2, 67-74 p.Conference paper (Refereed)
The problem of the recognition of human intentions is part of a control task for human-robot interaction and cooperation. A prominent role plays the prediction of human motions to plan corresponding on line reactions and maneuvers. The time schedule for the information exchange and the kinematic relations have been discussed, a general scheme of regarding fuzzy control rules for the human-robot interaction is presented and collision avoidance and optimization strategies are discussed. Another method to recognize intentions is the fuzzy modeling of pedestrian tracks, the identification of lanes preferred by human agents, and the identification of a membership of a pedestrian track to a specific lane.Examples with both simulated and real data show the applicability of the methods presented, whereas - because of the lack of space - we confined ourself to the switching controller and the recognition of lanes.
Place, publisher, year, edition, pages
Setúbal, Portugal: SciTePress, 2016. Vol. 2, 67-74 p.
Fuzzy control, Fuzzy modeling, Human-Robot interaction, human intentions
Computer and Information Science
IdentifiersURN: urn:nbn:se:oru:diva-53710ISBN: 978-989-758-201-1OAI: oai:DiVA.org:oru-53710DiVA: diva2:1051090
8th International Conference on Computational Intelligence IJCCI 2016, FCTA, Porto, Portugal, 9-11 November, 2016
ProjectsAction and Intention Recognition in Human Interaction with Autonomous Systems