Abstract

Continuous-bodied “trunk and tentacle” robots have increased self-adaptability and obstacle avoidance capabilities, compared with traditional, discrete-jointed, robots with large rigid links. In particular, continuous-bodied robots have obvious advantages in grasping objects across a wide range of external dimensions. Not only can they grasp objects using end effectors like traditional robots, but their bodies can also be regarded as a gripping device, and large objects with respect to the robot’s scale can be captured by the entire structure of the robots themselves. Existing trunk-like robots have distributed multidrive actuation and are often manufactured using soft materials, which leads to a complex actuator system that also limits their potential applications in dangerous and extreme environments. This paper introduces a new type of elephant’s trunk robot with very few driving constraints. The robot consists of a series of novel underactuated linkage units. With a single-motor drive, the robot can achieve stable grasping of objects of different shapes and sizes. The proposed robot simplifies the requirements of the sensing and control systems during the operation process and has the advantage of accomplishing the capture task without determining the exact shape and position of the target object. It is especially suitable for operations such as non-cooperative target capture in extremely dangerous environments, including those in outer space. Based on theoretical analysis and model design, a trunk robot prototype was developed, and a comprehensive experimental study of the bending/extension and grasping operation functions was conducted to verify the validity of the proposed robot design.

Highlights

  • Vehicle technology has rapidly developed and its merit and performance have been fast improved over the era

  • The tracking performance indicates that Particle Swab Optimization (PSO)-Proportional Integral Derivative (PID) controller is more capable than Iterative Learning Control (ILC) controller of tracking transient signal

  • We find that the PSO-PID controller is far superior to the ILC controller in terms of steering angle simulation and sinusoidal tracking error performance criteria

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Summary

Introduction

Vehicle technology has rapidly developed and its merit and performance have been fast improved over the era. Changing steering angle according to steering wheel input in addition to assist steering force would result in lateral movement to its driving direction, so that the vehicle will need to identify its surrounded driving environment. This explains why it has taken such a long time to achieve the use of intelligent functions higher than that of the power steering system (Abe, 2015). PID control has been used in many automation systems such as in Mobile Robots (Emhemed et al, 2013); control of SbW system (Xu et al, 2019) and hydraulic quadruped robot (Chang et al, 2014). The designed controllers-based steering plant with tracking trajectory conclusions are provided

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