Hardware schemes for smarter indoor robotics to prevent the backing crash framework using field programmable gate array-based multi-robots

• Main Authors: Basha, Mudasar, Siva Kumar, Munuswamy, Chinnaiah, Mangali Chinna, Lam, Siew-Kei, Srikanthan, Thambipillai, Narambhatla, Janardhan, Dodde, Hari Krishna, Dubey, Sanjay
• 其他作者: College of Computing and Data Science
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Computer and Information Science; Multi-robot; Backing crash prevention
• 在線閱讀: https://hdl.handle.net/10356/178522
• 機構: Nanyang Technological University

The use of smart indoor robotics services is gradually increasing in real-time scenarios. This paper presents a versatile approach to multi-robot backing crash prevention in indoor environments, using hardware schemes to achieve greater competence. Here, sensor fusion was initially used to analyze the state of multi-robots and their orientation within a static or dynamic scenario. The proposed novel hardware scheme-based framework integrates both static and dynamic scenarios for the execution of backing crash prevention. A round-robin (RR) scheduling algorithm was composed for the static scenario. Dynamic backing crash prevention was deployed by embedding a first come, first served (FCFS) scheduling algorithm. The behavioral control mechanism of the distributed multi-robots was integrated with FCFS and adaptive cruise control (ACC) scheduling algorithms. The integration of multiple algorithms is a challenging task for smarter indoor robotics, and the Xilinx-based partial reconfiguration method was deployed to avoid computational issues with multiple algorithms during the run-time. These methods were coded with Verilog HDL and validated using an FPGA (Zynq)-based multi-robot system.