International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 04 | Apr-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1189 ROBOTIC VEHICLE MOVEMENT AND ARM CONTROL THROUGH HAND GESTURES USING ARDUINO N Meenatchi Sundaram 1 , R Shiva Rama Krishnan 2 , T K Suraj Kamal 3 , J Rajeswari 4 UG Students 1, 2, 3 , Department of Electrical and Electronics Engineering, Velammal College of Engineering and Technology, Madurai. Assistant Professor 4 , Department of Electrical and Electronics Engineering, Velammal College of Engineering and Technology, Madurai. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Robotic vehicle movement and Arm control through hand gestures using arduino is an assistive robot system for user-friendly support, hospital operations, and hazardous environment and to increase the autonomy of physically impaired people. It is a kind of functional replacement hand integrated with the moving vehicle that aids the amputees often suffers from physical difficulties. The prime aim of this system is to make it feasible to interact with the robot through the recognition of hand gestures for the physically challenged people. This is an electromechanical system in which the robotic arm can be controlled by a simple inertial navigation sensor called accelerometer. Similarly the soft catching gripper connected to the robotic arm can be controlled by flex sensor. The gesture commands measured by the accelerometer and flex sensor are processed by the arduino controller. The arduino controller is used in both the transmitter and receiver circuits, it responds based on the input given through the hand gestures. The signals get transmitted and received by advanced wireless nRF communication system. The robotic vehicle can move in all possible four directions (forward, backward, right and left). The different operations performed by the robotic arm are picking and placing the objects from one location to another location. For the controlling of the motor, motor driver IC and arduino controller is used. This system provides more natural and convenient ways to express their intentions and interactions with the environment. Key Words: Gestures, Accelerometer, Flex Sensor, Arduino, nRF Module, Driver Circuits, Robotic Arm and Robotic Vehicle. 1. INTRODUCTION Present day industry is mainly focusing towards computer- based interaction and robots to improve their productivity and delivery of end products with uniform quality to remain one step ahead of competitors. Today’s robots are quick, canny, prudent, accurate and more sensible than in the past years and are becoming increasingly viable for the high mix- low volume and low mix-high volume production. Collaborative robots, or Dzcobotsdz, are capable of working together with the humans and physically interact with the humans in a shared workspace. In addition, cobots use sensor technology that enables the function safely alongside humans in a hazardous environment and prevents them from handling risky works. Generally robots are used to perform dangerous, tricky and highly repetitive task and it also reduces the presence of human. The robotic operations are tremendously increased and have been widely accepted by many countries due to its error free functioning. Apart from industries, robots offer best solutions for designing a home automation system for elderly people and supportive system for the physically impaired people. Gesture recognition is a highly adaptive interface between the robots and users. It allows the operations of complex machines using hand movement thereby eliminating physical contact. The gesture controlled robots provides an opportunity to integrate disabled people into their normal working life as well as to increase the autonomy in activities of daily living. This kind of control could offer a practical way to give disabled people more independence. They can even help to meet challenges posed by military and defense operations. They can also be used in surgical operations. Under some circumstances surgeons were unable to be on time to perform operations which could be fatal in many cases and shifting of patients become impractical. This system can explore the remote robot in the diverse environment utilizing different motion orders. 1.1 Objective The main objective is to develop a hand gesture based robotic vehicle with an end effector to pick and place objects controlled by nRF communication to increase the autonomy of physically impaired people by using MEMS technology. This is an attractive and compact embedded device with sensors to sense the activities of human hands and to capture motion information from accelerations in a form of analog voltage. This approach is focusing primarily on the task of grasping objects of different shapes and not that of manipulating or assembling objects. This type of grasping device has a variety of applications in object retrieval systems for the handicapped, planetary, underwater exploration and robotic surgery. Also, to control the displacement of the robotic arm so that the arm can be used to pick and place objects from any source to destination.