Adaptive selection of reactive/deliberate planning for the dynamic environment - A proposal and evaluation of MRR-planning-

Satoshi Kurihara, Shigemi Aoyagi, Rikio Onai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper proposes and evaluates a methodology for multi-agent realtime reactive planning. In addition to the feature of conventional real-time reactive planning, which can react in a dynamic environment, our planning can perform deliberate planning when, for example, the robot has enough time to plan its next action. The proposed planning features three kinds of agents: a behavior agent that controls simple behavior, a planning agent that makes plans to achieve its goals, and a behavior selection agent that intermediates between behavior agents and planning agents. They coordinate a plan in an emergent way for the planning system as a whole. We confirmed the effectiveness of our planning by means of a simulation. Furthermore, we implemented an active vision system, which is the first stage of building the real-world agent, and used it to verify the real-world effectiveness of our planning.

Original languageEnglish
Title of host publicationMulti-Agent Rationality - 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Proceedings
PublisherSpringer Verlag
Pages112-127
Number of pages16
Volume1237
ISBN (Print)3540630775, 9783540630777
DOIs
Publication statusPublished - 1997
Externally publishedYes
Event8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997 - Ronneby, Sweden
Duration: 1997 May 131997 May 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1237
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997
CountrySweden
CityRonneby
Period97/5/1397/5/16

Fingerprint

Dynamic Environment
Planning
Evaluation
Active Vision
Real-time
Vision System
Robot
Robots
Verify
Methodology
Evaluate

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kurihara, S., Aoyagi, S., & Onai, R. (1997). Adaptive selection of reactive/deliberate planning for the dynamic environment - A proposal and evaluation of MRR-planning-. In Multi-Agent Rationality - 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Proceedings (Vol. 1237, pp. 112-127). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1237). Springer Verlag. https://doi.org/10.1007/3-540-63077-5_29

Adaptive selection of reactive/deliberate planning for the dynamic environment - A proposal and evaluation of MRR-planning-. / Kurihara, Satoshi; Aoyagi, Shigemi; Onai, Rikio.

Multi-Agent Rationality - 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Proceedings. Vol. 1237 Springer Verlag, 1997. p. 112-127 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1237).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kurihara, S, Aoyagi, S & Onai, R 1997, Adaptive selection of reactive/deliberate planning for the dynamic environment - A proposal and evaluation of MRR-planning-. in Multi-Agent Rationality - 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Proceedings. vol. 1237, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1237, Springer Verlag, pp. 112-127, 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Ronneby, Sweden, 97/5/13. https://doi.org/10.1007/3-540-63077-5_29
Kurihara S, Aoyagi S, Onai R. Adaptive selection of reactive/deliberate planning for the dynamic environment - A proposal and evaluation of MRR-planning-. In Multi-Agent Rationality - 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Proceedings. Vol. 1237. Springer Verlag. 1997. p. 112-127. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-63077-5_29
Kurihara, Satoshi ; Aoyagi, Shigemi ; Onai, Rikio. / Adaptive selection of reactive/deliberate planning for the dynamic environment - A proposal and evaluation of MRR-planning-. Multi-Agent Rationality - 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Proceedings. Vol. 1237 Springer Verlag, 1997. pp. 112-127 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{8a74ff48d655475fb1af2c06578bb74e,
title = "Adaptive selection of reactive/deliberate planning for the dynamic environment - A proposal and evaluation of MRR-planning-",
abstract = "This paper proposes and evaluates a methodology for multi-agent realtime reactive planning. In addition to the feature of conventional real-time reactive planning, which can react in a dynamic environment, our planning can perform deliberate planning when, for example, the robot has enough time to plan its next action. The proposed planning features three kinds of agents: a behavior agent that controls simple behavior, a planning agent that makes plans to achieve its goals, and a behavior selection agent that intermediates between behavior agents and planning agents. They coordinate a plan in an emergent way for the planning system as a whole. We confirmed the effectiveness of our planning by means of a simulation. Furthermore, we implemented an active vision system, which is the first stage of building the real-world agent, and used it to verify the real-world effectiveness of our planning.",
author = "Satoshi Kurihara and Shigemi Aoyagi and Rikio Onai",
year = "1997",
doi = "10.1007/3-540-63077-5_29",
language = "English",
isbn = "3540630775",
volume = "1237",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "112--127",
booktitle = "Multi-Agent Rationality - 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Proceedings",
address = "Germany",

}

TY - GEN

T1 - Adaptive selection of reactive/deliberate planning for the dynamic environment - A proposal and evaluation of MRR-planning-

AU - Kurihara, Satoshi

AU - Aoyagi, Shigemi

AU - Onai, Rikio

PY - 1997

Y1 - 1997

N2 - This paper proposes and evaluates a methodology for multi-agent realtime reactive planning. In addition to the feature of conventional real-time reactive planning, which can react in a dynamic environment, our planning can perform deliberate planning when, for example, the robot has enough time to plan its next action. The proposed planning features three kinds of agents: a behavior agent that controls simple behavior, a planning agent that makes plans to achieve its goals, and a behavior selection agent that intermediates between behavior agents and planning agents. They coordinate a plan in an emergent way for the planning system as a whole. We confirmed the effectiveness of our planning by means of a simulation. Furthermore, we implemented an active vision system, which is the first stage of building the real-world agent, and used it to verify the real-world effectiveness of our planning.

AB - This paper proposes and evaluates a methodology for multi-agent realtime reactive planning. In addition to the feature of conventional real-time reactive planning, which can react in a dynamic environment, our planning can perform deliberate planning when, for example, the robot has enough time to plan its next action. The proposed planning features three kinds of agents: a behavior agent that controls simple behavior, a planning agent that makes plans to achieve its goals, and a behavior selection agent that intermediates between behavior agents and planning agents. They coordinate a plan in an emergent way for the planning system as a whole. We confirmed the effectiveness of our planning by means of a simulation. Furthermore, we implemented an active vision system, which is the first stage of building the real-world agent, and used it to verify the real-world effectiveness of our planning.

UR - http://www.scopus.com/inward/record.url?scp=84958751347&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958751347&partnerID=8YFLogxK

U2 - 10.1007/3-540-63077-5_29

DO - 10.1007/3-540-63077-5_29

M3 - Conference contribution

SN - 3540630775

SN - 9783540630777

VL - 1237

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 112

EP - 127

BT - Multi-Agent Rationality - 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW 1997, Proceedings

PB - Springer Verlag

ER -