Nowadays, robots have become progressively helpful in the field of war because they will be armed and sent into hazardous areas to operate critical missions. A wireless data glove was developed for communications in these extreme environments whenever typing on a keyboard is either impractical or not possible. This paper reports an adoption of this communications glove for transmitting gestures to a military robot to control its functions. Control of novel remote robots has been an active space of analysis and technology, especially over the past decade, as an example, a wireless and wearable tele-operation system was established to control the robot with a multi model display. Remote control robots have been employed in environments whenever conditions are dangerous to humans. this article gives a brief information about Gesture Controlled Robot arm using MEMS.
A MEMS (Micro Electro Mechanical System) is an industrial technology for small devices. It can be defined as, a sensor which can be used to convert a physical quantity to an electrical signal.It is the mix of mechanical parts, electronics, actuators and sensors on a substrate through small technology. This technology is used to create a system of miniature dimensions. MEMS sensor is very attractive due to their weight and size (micrometers to millimeters). Thus, this sensor is used in various applications like display technologies, optical n/w’s and sensor systems.
These sensors can also be found in flow sensors, pressure sensors, pressure sensors, inkjet printers, deformable mirror devices, gas sensors, gas sensors, accelerometers, micro motors. These devices are manufactured in high profitable volume. A MEMS sensor is generally accumulated by similar masking and etching process as microchips. The accelerometer is the best example of MEMS sensor that is used to measure acceleration. MEMS sensors are categorized into three types such as MEMS pressure sensors, MEMS chemical sensors and MEMS inertial sensors.
MEMS based Gesture Controlled Robot Arm
The main objective of this project is to control a robot using MEMS. In this proposed system, the MEMS sensor is fixed to the arm. The block diagram of the MEMS based gesture controlled robot arm is shown below.
This project mainly uses some hardware tools like a MEMS sensor, microcontroller AT89S52, DC motors and an RF TX and RF RX. In addition to these tools the required software tools are used like keil compiler, Proload and OrCad. The IC 7805 is a 9V regulator, and it has some features like thermal internal current limit and safe area protection.
In this project, the transformer steps down the 230V into 16V, 1A and the bridge rectifier is used to rectify the voltage and the voltage is filtered by the capacitor. The voltage regulator regulates the voltage and finally produces 5V DC o/p.The microcontroller AT89S52 is a 8-bit and high-performance CMOS microcontroller with 8K bytes of programmable flash memory; it offers a highly flexible and cost-effective solution to many embedded applications.
AT89S52 Microcontroller Features
- The operating range is from 4V to 5.5V
- The static operating range is from 0Hz to 33MHz
- 3-level program memory lock
- Internal RAM is 256×8-bit
- UART serial channel
- 32 programmable input/output lines
- 16-bit Timers/Counters
- 8- Interrupt sources
Currently, controlling of robots can be done by using a remote or cell phone. Whenever we think about the cost and hardware for low level applications, these things can increase the complexity. In this project, the robot we have designed is different. Because, it doesn’t have the need of any communication cable or remote.
The robot in this project comprises of three parts, they are MEMS sensor, AT89S52 microcontroller and motor driver. This MEMS based gesture controlled robotic arm project is self controlled and activated by gesture controlled robot by arm. In this project, the sensor is fixed to the arm that includes an acceleration meter. When the arm moves in any direction like right, left, forward and reverse. The MEMS sensor recognizes the movement of the arm and converts it into an electrical signal and sends it to the microcontroller AT89S52.
This project mainly includes two sections transmitter section and another one is receiver section. At the transmitter end of the project, the microcontroller receives the signal and sends to the receiver end through RF transceiver. At the receiver end, the microcontroller receives the signals from the RF transceiver and finally motor is controlled by the motor driver.
In the future, this project can be enhanced by using wireless technology capable of sensing arm gestures. This robotic vehicle project can be used in military applications.
This system is a simple and fast algorithm for arm gesture recognition for controlling the robot. In this project, we have considered only a few numbers of gestures. But thus algorithm can be prolonged in a different ways to identify a larger set of arm gestures. The portion of arm gesture recognition is very simple.