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Notomista G, Mayya S, Emam Y, Kroninger C, Bohannon A, Hutchinson S, Egerstedt M. A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multirobot Systems. IEEE T ROBOT 2022. [DOI: 10.1109/tro.2021.3102379] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Mayya S, D'antonio DS, Saldana D, Kumar V. Resilient Task Allocation in Heterogeneous Multi-Robot Systems. IEEE Robot Autom Lett 2021. [DOI: 10.1109/lra.2021.3057559] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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ElGibreen H, Youcef-Toumi K. Dynamic task allocation in an uncertain environment with heterogeneous multi-agents. Auton Robots 2019. [DOI: 10.1007/s10514-018-09820-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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LIM HEONYOUNG, KANG YEONSIK, LEE JOONGJAE, KIM JONGWON, YOU BUMJAE. SOFTWARE ARCHITECTURE AND TASK DEFINITION OF A MULTIPLE HUMANOID COOPERATIVE CONTROL SYSTEM. INT J HUM ROBOT 2011. [DOI: 10.1142/s0219843609001747] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
This paper presents a cooperative control software architecture that coordinates a team of multiple humanoid to complete a mission by collaborating with each other. The mission of the humanoid team is decomposed into tasks and distributed to each humanoid to be executed. Each task is described by the proposed humanoid action primitives, which are designed to abstract broad classes of humanoid tasks appropriately. In particular, missions and tasks for the humanoid team are designed by using a finite state machine with a developed user interface. The multiple humanoid cooperative control software consists of 3 layers: the mission layer, task layer, and action layer. The software architecture has scalability to the number of humanoids and the number of assigned missions with its framework based on the CORBA middleware, which integrates many different functionalities of the humanoid. The feasibility and robustness of the implemented software architecture are verified through successful completion of the mission assigned to the humanoid team while each humanoid performs its given task sequentially.
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Affiliation(s)
- HEONYOUNG LIM
- School of Mechanical and Aerospace Engineering, Seoul National University, 599 Gwanak-ro, Gwanak-gu, Seoul, Korea
- Center for Cognitive Robotics Research, Korea Institute of Science and Technology, Hawolgok-dong, Wolsong-gil 5, Seongbuk-gu, Seoul, Korea
| | - YEONSIK KANG
- Center for Cognitive Robotics Research, Korea Institute of Science and Technology, Hawolgok-dong, Wolsong-gil 5, Seongbuk-gu, Seoul, Korea
| | - JOONGJAE LEE
- Center for Cognitive Robotics Research, Korea Institute of Science and Technology, Hawolgok-dong, Wolsong-gil 5, Seongbuk-gu, Seoul, Korea
| | - JONGWON KIM
- School of Mechanical and Aerospace Engineering, Seoul National University, 599 Gwanak-ro, Gwanak-gu, Seoul, Korea
| | - BUM-JAE YOU
- Center for Cognitive Robotics Research, Korea Institute of Science and Technology, Hawolgok-dong, Wolsong-gil 5, Seongbuk-gu, Seoul, Korea
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