Hardware Schemes for Autonomous Navigation of Cooperative-type Multi-robot in Indoor Environment

This study proposes about the autonomous navigation of a multi-robot for transportation in indoor environments. This transportation is integrated with three foldings of VLSI architectures; they are 1) shortest optimal path planning 2) behavioral control between multi-robot with leadership swapping methods as per dynamic conditions and 3) obstacle avoidance by multi-robot. The hardware schemes have been designed for navigation of multi-robot with shortest path planning, based on an extended Dijkstra algorithm along with the Delaunay triangulation method. The behavioral control mechanism between the multi-robot is another challenge at the time of navigation and obstacle avoidance at both static and dynamic conditions in real-time scenario. The leader and follower approaches are deployed for cooperation between multi-robot to accomplish the task. The VLSI architectures are proposed for multi-robot navigation in the warehouse-type indoor environment. It is developed using Verilog HDL, simulated and synthesized with Xilinx Vivado 17.1. The Zynq-7000 SoC ZC702 FPGA is used as the target device.