Title : 
Determining the fleet size of mobile robots with energy constraints
         
        
            Author : 
Mei, Yongguo ; Lu, Yung-Hsiang ; Hu, Y. Charlie ; Lee, C. S George
         
        
            Author_Institution : 
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
         
        
        
        
            fDate : 
28 Sept.-2 Oct. 2004
         
        
        
            Abstract : 
As robotics technologies improve, mobile robots can be used in many applications. A fundamental question is to decide the number of robots needed (i.e., the "fleet-size problem") to accomplish tasks. Previous studies did not consider the energy constraints of the fleet size problem. In this paper, we present a probabilistic method to decide the fleet size for serving random requests. A simplification method is provided for fast computation. Our method is computationally efficient, with an average of 4% errors validated by an event-driven simulator.
         
        
            Keywords : 
mobile robots; multi-robot systems; probability; energy constraint; event-driven simulator; mobile robot fleet size; probabilistic method; Application software; Batteries; Computational modeling; Discrete event simulation; Energy consumption; Mobile robots; Power engineering and energy; Probability; Timing; Vehicles;
         
        
        
        
            Conference_Titel : 
Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
         
        
            Print_ISBN : 
0-7803-8463-6
         
        
        
            DOI : 
10.1109/IROS.2004.1389595