Test cum interview for PhD & at college of Engineering, Anna university. Supervisor : Dr. SP.Nachiappan Scholar : M.Elango Lecturer Thiyagarajar Engineering college Madurai

Multi-Robot Coordination Exploration and Development of new methodologies

Multi-Robot systems & Applications A team of robots has to visit given targets spread over some known or unknown terrain. Each target must be visited by one robot 1.Space missions 2.Operations in hazardous environments 3.Military operations, etc.,

Why Multi robot co-ordination Until recently most of the multi-robot systems have been fixed systems without autonomously moving elements. They may consist of several types of robot or manipulators. On the other hand extensive research carried out on autonomous mobile robots. Many solutions to the problems including path planning and obstacle avoidance is wanted

Why Multi robot co-ordination Autonomous multi-robot co-ordination brings in the problems of both multi robot coordination and autonomous navigation As the number of robot and the target increase the allocation become complex. Hence robot teams working together and should be made to share the work load efficiently in a cost effective manner.

Methodology adopted for finding solutions – Literature survey A Framework for Multi-Robot Coordination, Design of Iterative Mechanisms for Combinatorial Auctions and Exchanges Scheduling with Group Dynamics: a Multi-Robot Task Allocation Algorithm based on Vacancy Chains Toward a Multi-Robot Coordination Formalism An Efficient Approach Integrating Genetic Algorithm, Linear Programming, and Ordinal Optimization for Linear Mixed Integer Programming Problems A Paradigm for Dynamic Coordination of Multiple Robots

Methodology adopted for finding solutions – Literature survey An auction – theoretic modeling of production scheduling to achieve distributed decision making. Combinatorial Auction and Lagrangean relaxation for distributed resource scheduling The generation of bidding rules for auction- based robot coordination. Auction-based multi-robot routing. Non–cooperative game approach To multi–robot planning

With thanks To Anna university, Chennai TCE,Madurai Next ……….