Conference proceeding
A multiple objectives optimization approach to robotic teams' analysis, design and control
IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502), pp 31-34
2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
An optimization approach to distributed intelligent system design and control is presented. It is expected to enhance the autonomous decision-making capabilities of subsystems. It is applicable to autonomous multiple agents homogeneous or heterogeneous clusters, when they must collaborate to achieve a common goal, acting in a coordinated manner that will provide situation awareness, collision avoidance and operations in complex environment and degraded communications or sensors failures.
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Details
- Title
- A multiple objectives optimization approach to robotic teams' analysis, design and control
- Creators
- A Guez - Drexel University
- Publication Details
- IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502), pp 31-34
- Conference
- IEMC '03 Managing Technologically Driven Organizations: The Human Side of Innovation and Change
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000186578300006
- Other Identifier
- 991019168601504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence