Obstacle Avoidance Design for Humanoid Robot Based on Four Infrared Sensors
نویسندگان
چکیده
A behavior strategy of humanoid robot for obstacle avoidance based on four infrared sensors is proposed and implemented on an autonomous humanoid robot. A mechanical structure with 26 degrees of freedom is design so that an implemented small-size humanoid robot named TWNHR-III is able to accomplish five walking motions. Three walking experiments are presented to illustrate that the proposed biped structure lets TWNHR-III can move forward, turn, and slip. One electronic compass and four infrared sensors are mounted on TWNHR-III to obtain the head direction of the robot and detect obstacles, respectively. Based on the obtained information from these sensors, a decision tree method is proposed to decide one behavior from five movements: walk forward, turn right and left, and slip right and left. Two MATLAB simulations and one real experiment are presented to illustrate that the robot can avoid obstacles autonomously and go to the destination effectively.
منابع مشابه
Design and Implementation of Humanoid Robot for Obstacle Avoidance
In this paper, a path planning of humanoid robot for obstacle avoidance by using infrared sensors (IRs) is proposed. An autonomous humanoid robot TWNHR-3 is used to implement the proposed strategy. Four IR sensors are mounted on TWNHR-3 to detect obstacles. Based on the obtained information from IR sensors, a decision tree method is proposed to decide the behavior of robot so that the robot avo...
متن کاملFuzzy Control of Humanoid Robot for Obstacle Avoidance
A fuzzy system based on the obtained information of four infrared (IR) sensors and one electronic compass is proposed and implemented on a humanoid robot to avoid obstacles. A humanoid robot named TWNHR-3 with 26 degrees of freedom (DOFs) is designed so that it can do five basic motions. Four IR sensors and one electronic compass are installed on TWNHR-3 to detect the environment information in...
متن کاملDynamic Obstacle Avoidance by Distributed Algorithm based on Reinforcement Learning (RESEARCH NOTE)
In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...
متن کاملSoftware Implementation of Obstacle Detection and Avoidance System for Wheeled Mobile Robot
Nowadays, Wheeled Mobile Robots (WMRs) are built and the control system that used to control them are made by Electronic Engineers. Depend on their desire design of WMR, Technicians made used of Microcontrollers as controlling machines and DC Motors for motion control. Autonomous robotic vehicle guidance for indoor navigation has been developed for Mobile Industrial Robot model. The resulting d...
متن کاملComparison of Obstacle Avoidance Behaviors for a Humanoid Robot in Real and Simulated Environments
RoboCup soccer is still host to frequent collisions between robots that lead to unsavory gameplan that is typically not allowed in human soccer. In the Standard Platform league where ultrasonic sensors are employed, these collisions are forbidden, but there is still leniency in the Humanoid League. Additionally, advanced behaviors, such as dribbling, require robust obstacle avoidance strategies...
متن کامل