Robot Detection System 2: Design of Sensor System
Jinwei Lin
TL;DR
The paper addresses improving front-following performance in robot detection by focusing on sensor-system design. It develops two LRF-based architectures: Sensor System 1, a rectangular four-corner angle configuration, and Sensor System 2, a rectangular four-sided center configuration, each with a virtual-real robot framework and a restricted-area mechanism to enforce forward tracking. A core contribution is a proportional expansion framework, governed by parameters such as $p>1$ (with typical guidance $1.2 \le p \le 2$), plus a 45-degree region partition to allocate LRF detection roles and ensure robust, high-precision sensing. The work provides detailed architectural analysis and design guidance to enable open-source propagation and practical deployment of front-following sensing systems in robotic platforms.
Abstract
Front-following is more technically difficult to implement than the other two human following technologies, but front-following technology is more practical and can be applied in more areas to solve more practical problems. The design of sensors structure is an important part of robot detection system. In this paper, we will discuss basic and significant principles and general design idea of sensor system design of robot detction system. Besides, various of novel and special useful methods will be presented and provided. We use enough beautiful figures to display our novel design idea. Our research result is open source in 2018, and this paper is just to expand the research result propagation granularity. Abundant magic design idea are included in this paper, more idea and analyzing can sear and see other paper naming with a start of Robot Design System with Jinwei Lin, the only author of this series papers.