Adaptable robotics for disaster response and search & rescue:
Integration of deformable smart car design and PI control
Yuang Lu
School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu,
China, 215123
Yuang.Lu21@student.xjtlu.edu.cn
Abstract. In the context of disaster response and search and rescue operations, the need for
adaptable and efficient robotic systems has become increasingly evident. This research paper
addresses the evolving challenges in this domain by introducing a novel DIY deformable robot
equipped with advanced PI (Proportional-Integral) control. The background of this study
emerges from the growing urgency to enhance the capabilities of robotics in post-disaster
scenarios, where navigation through complex terrains and the swift delivery of supplies are
paramount.The primary objective of this paper is to develop and assess a versatile robotic
platform using a multidisciplinary approach encompassing mechanical engineering, electronics,
and control systems. The core of the investigation is a DIY deformable car consisting of two
sensor-equipped containers and a linking module, making it well-suited for search and rescue
missions. This paper contains the implementation of a PI control system to govern the robot's
mobility and adaptability. This includes a detailed examination and demonstration of the PI
control mechanism, encompassing its proportional and integral components. The actual results
also indicate that the smart car controlled by the PI controller has better performance in both
stability and speed.
Keywords: Deformable Robot, PI Control, Search And Rescue, Speed Control, Smart Car.
1. Introduction
In the rapidly evolving field of robotics and autonomous mobility, the intersection of deformable smart
car design and PI (Proportional-Integral) control has become a focal point of research and innovation [1].
This convergence is driven by the growing recognition of the critical role these technologies play in
disaster response and search and rescue operations.
Recent advancements in deformable smart cars offer a ray of hope in addressing the complex terrains
and confined spaces frequently encountered in disaster-stricken areas. These vehicles possess the
intrinsic capacity to adapt to challenging environments, making them indispensable tools for
mission-critical tasks [2]. However, despite their potential, the practical implementation and
optimization of deformable smart cars remain intricate and under-explored.
Simultaneously, PI control has emerged as an indispensable component in the enhancement of smart
car behavior, particularly when precise navigation is paramount [3]. The application of PI control
mechanisms empowers these vehicles to navigate terrains with unparalleled precision and adaptability
