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Proceedings ArticleDOI

Research on mission planning technique of autonomous collaborative manipulation for multiple space robot

Yan Hui, +2 more
- pp 4724-4729
TLDR
In this article, a modified contract net protocol is proposed to solve the problem of subtasks assignment, with a strategy of sub-task grouping bidding and load balancing, which is based on the basic concept of Contract Net Protocol.
Abstract
The Multiple Space Robot (abbreviated as MSR) can complete complex space manipulation mission. Under the background of future development and application of MSR, this paper proposes a mission planning technique for MSR On-Orbit Servicing. Mission of MSR is modeled based on Temporal Constraint Network, and complex temporal relations between subtasks of the mission are embodied with this model. Aiming at solving the problem of subtasks assignment, a modified Contract Net Protocol is proposed based on the basic concept of Contract Net Protocol, with a strategy of subtasks grouping bidding and a strategy of load balancing.

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References
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Journal ArticleDOI

Temporal constraint networks

TL;DR: It is shown that the STP, which subsumes the major part of Vilain and Kautz's point algebra, can be solved in polynomial time and the applicability of path consistency algorithms as preprocessing of temporal problems is studied, to demonstrate their termination and bound their complexities.
Proceedings ArticleDOI

Multi-robot Cooperation in Space: A Survey

TL;DR: The multi-robot cooperation techniques used in theoretical research as well as experiments are reviewed, and the applicability for space applications is investigated.
Journal ArticleDOI

Analysis of contract net in multi-agent systems

TL;DR: This work proposes a model to facilitate the development of the bid evaluation procedure by extending the previous results to handle tasks with more complex process structure and formulate an optimization problem to find a minimal cost feasible execution sequence for a task.
Proceedings ArticleDOI

Results Analysis of Using Free Market Auctions to Distribute Control of UAVs

TL;DR: The study showed that task allocations based on realistic, localized perceptions produce improved mission performance over random target allocation, and showed that free market auctions produce order in a chaotic allocation environment.

Overview of Air Vehicle Mission Planning Techniques

TL;DR: In this paper, the authors introduced the concept of air vehicle mission planning and analyzed the system architecture of mission planning, which is divided into three levels: operation planning for multi-vehicle task allocation and coordination, tactical activity planning for the design of air-vehicles tactic activity employment, and route/trajectory planning for flight route or trajectory generation.
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