Showing papers by "Lakhmi C. Jain published in 2006"

Path planning and obstacle avoidance for autonomous mobile robots: a review

Abstract: Recent advances in the area of mobile robotics caused growing attention of the armed forces, where the necessity for unmanned vehicles being able to carry out the “dull and dirty” operations, thus avoid endangering the life of the military personnel. UAV offers a great advantage in supplying reconnaissance data to the military personnel on the ground, thus lessening the life risk of the troops. In this paper we analyze various techniques for path planning and obstacle avoidance and cooperation issues for multiple mobile robots. We also present a generic dynamics and control model for steering a UAV along a collision free path from a start to a goal position.

The Link between Agent Coordination and Cooperation

Abstract: Agent coordination is the ability to manage the interdependencies of activities between agents while agent cooperation is the process used for an agent to voluntarily enter a relationship with another to achieve a system derived goal We describe and show the concepts of Coordinative Cooperation and Cooperative Coordination using examples These concepts demonstrate the ability for intelligent agents to distinguish between cooperation from coordination and vice-versa Both concepts can be integrated into a process, using a cognitive cycle to explain the interaction between coordination and cooperation Furthermore, this paper will discuss how the coordination/cooperation loop is initialised and can be affected by Coordinative and Cooperative events We recommend suggestions on how these concepts can be designed and implemented in a multiagent system (MAS) and introduce AC3M, which is a prototype of this cognitive loop

Path Planning and Obstacle Avoidance for Autonomous Mobile Robots: A Review

Abstract: Recent advances in the area of mobile robotics caused growing attention of the armed forces, where the necessity for unmanned vehicles being able to carry out the dull and dirty operations, thus avoid endangering the life of the military personnel. UAV offers a great advantage in supplying reconnaissance data to the military personnel on the ground, thus lessening the life risk of the troops. In this paper we analyze various techniques for path planning and obstacle avoidance and cooperation issues for multiple mobile robots. We also present a generic dynamics and control model for steering a UAV along a collision free path from a start to a goal position.

Innovations in machine learning : theory and applications

Abstract: A Bayesian Approach to Causal Discovery.- A Tutorial on Learning Causal Influence.- Learning Based Programming.- N-1 Experiments Suffice to Determine the Causal Relations Among N Variables.- Support Vector Inductive Logic Programming.- Neural Probabilistic Language Models.- Computational Grammatical Inference.- On Kernel Target Alignment.- The Structure of Version Space.

Intelligent Decision Support System in Defense Maintenance Methodologies

Abstract: Integrated logistics support (ILS) systems are becoming more sophisticated as the defense operations demand increasing levels of service from contractors and maintainers. Intelligent decision support system (IDSS) are required to provide adaptive automated responses for provisioning and maintenance of an increasing number of defense platforms that are now being supported either by defense organizations or by long term maintenance contracts from within the private sector. Traditional methods of repair are being upgraded to include data mining and intelligent agents to help stimulate intelligent decision support systems in creating a more efficient and reliable maintenance environment for defense. A concept demonstration, called the automated test equipment multi-agent system (ATEMAS), is being developed under a collaborative program between Defense Science and Technology Organization (DSTO), the University of South Australia and Raytheon Australia. It is envisaged that when developed, this system will be able to provide cognitive intelligence to support better reliability predictions and thus making possible the much needed proactive obsolescence management for avionics parts

Soft Computing Paradigms and Regression Trees in Decision Support Systems

Abstract: Decision-making is a process of choosing among alternative courses of action for solving complicated problems where multi-criteria objectives are involved. The past few years have witnessed a growing recognition of Soft Computing (SC) technologies that underlie the conception, design and utilization of intelligent systems. In this chapter, we present different SC paradigms involving an artificial neural network trained using the scaled conjugate gradient algorithm, two different fuzzy inference methods optimised using neural network learning/evolutionary algorithms and regression trees for developing intelligent decision support systems. We demonstrate the efficiency of the different algorithms by developing a decision support system for a Tactical Air Combat Environment (TACE). Some empirical comparisons between the different algorithms are also provided.

An overview of agent coordination and cooperation

Abstract: By their very nature, intelligent agents possess four important social abilities. These include the ability to communicate, cooperate, collaborate and the need to be coordinated. This paper presents an overview of two of these social abilities, that of being coordination and cooperation. The discussion develops the theory of each and derives the current definitions. The definitions will then be linked into a single multi-agent system (MAS) model, Agent Coordination and Cooperation Cycle Model. This shows a cognitive loop that replicates the link between coordination and cooperation in systems such as organizations, management and biological systems. This paper will also present the advantages, consequences and challenges associated with the implementation of Agent Coordination and Cooperation Cognitive Model (AC3M) within intelligent multi-agent systems.

Teams in Multi-Agent Systems

Abstract: Multi-agent systems involve agents interacting with each other and the environment and working to achieve individual and group goals. The achievement of group goals requires that agents work together within teams. In this paper we first introduce three philosophical approaches that result from different answers to two key questions. Secondly we consider three theoretical frameworks for modelling team behaviour. Next we look at two agent implementation models. Finally, we consider one of those implementation models — JACK Teams — and place it in the context of the philosophical debate and the theoretical frameworks.

A Visual Landmark Recognition System for Autonomous Robot Navigation

Abstract: This paper presents a vision system for autonomously guiding a robot along a known route using a single CCD camera The prominent feature of the system is the real-time recognition of shape-based visual landmarks in cluttered backgrounds, using a memory feedback modulation (MFM) mechanism, which provides a means for the knowledge from the memory to interact and enhance the earlier stages in the system Its feasibility in autonomous robot navigation is demonstrated in both indoor and outdoor experiments using a vision-based navigating vehicle

Innovations in intelligent agents and web

Abstract: Intelligent agents are an integral and expanding part of practical systems. The ability of agents to generate goals and determine whether to accept the goals of others provides a powerful approach to autonomous computing, particularly in Web-based systems. This invited session of the 10th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems focuses on innovations in intelligent agents and Web-based agent systems.