Offloading Intellectual Processing from Home Service Robots to Edge Devices

In this study, we focus on extending the operational time of home service robots by offloading intellectual processing to circuit devices such as Field Programmable Gate Arrays (FPGAs), which in turn reduces power consumption.The core of our approach involves developing a method for implementing intellectual processing on FPGAs, coupled with a dynamic circuit reconfiguration technique.This enables the FPGA to adaptively respond to frequent task changes.We present: (a) methods for transitioning circuits from a robot's control computer to FPGA in response to varying tasks, and (b) an evaluation of the effectiveness of using FPGA to extend operational time under these rapidly changing task conditions.