Top PDF Development of a Voice-Controlled Human-Robot Interface

Development of a Voice-Controlled Human-Robot Interface

Development of a Voice-Controlled Human-Robot Interface

Recognition Rate (CRR) which is a ratio of voice commands successfully recognized to the total number of spoken commands (Equation 1). Large value of CRR indicates that the Dragon software has high accuracy in voice command recognition. The ideal value is 100%, indicating perfect recognition. The recognition speed will be determined by Recognition Speed Rate (RSR) which is an amount of time taken to naturally speak a command comparing against amount of time from the start of the utterance to successful macro execution (Equation 2). The difference between two parameter values should be close to zero, indicating that the macro is recognized and executed right after the operator finishes saying the command. Therefore, large value of RSR is preferred. In order to collect reasonable amount of data for CRR and RSR, eight randomly selected participants will join in the experiment and get to control the robot using voice command. In addition to collecting quantitative data, a survey will also be given out to those participants in order to collect qualitative data regarding the functionality of the proposed voice- controlled HRI. Furthermore, each individual macro is created using all three types of macro, namely step-by-step, macro recorder, and advanced scripting, to demonstrate the differences in the creation process as well as the functionality (Figure 4.6). The underlying assumption is that a macro whose structure is complex will have slow command execution speed, whereas a macro which can be created in a couple of simple steps will be executed at high speed.
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Development Of Remotely-Controlled Home Monitoring Mobile Robot With Camera For Human Aids

Development Of Remotely-Controlled Home Monitoring Mobile Robot With Camera For Human Aids

In Chapter 3, Methodology, element such as project development plan, project timeline, project system operation, project process operation, prototype building, hardware used and experiment setup. Flow chart, table and figure will be used throughout the chapter to show the method used to develop my project in different aspect such as project management, prototype building and result finding.

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Upliftment of a Smart Humanoid Robot which is Conducted by Human Voice from Android Application

Upliftment of a Smart Humanoid Robot which is Conducted by Human Voice from Android Application

Abstract This research reflects on the development of a humanoid robot and its applications. Our developed robot has ability to talk, having capability to move, and shaking hand and interacting with human through voice. Two interrelated parts are responsible for the upliftment. First of all, the construction part, which is all about a suitable design for the humanoid robot, and Building of actual model. This parts including designing of a mechanical structure of the humanoid robot, settings of the layout and enhancing of the external body parts using (0.5mm) PVC board. We assembled the robot by adding the essential actuators and the required controllers. Secondly, the controlling part, which tracks out robot movement. We use the static walk approach for this task. That is maintaining the robot statically stable during both phases of its walking sequence which is the double support phase, and the single support phase. This section is achieved by keeping the robot's centre of within the support area. To conclude, this research is all about using static walking mechanism to make the humanoid. The robot has proficiency to move on a flat surface, in hopes of further improvements in the future.
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Voice Controlled Robot with Real Time Barrier Detection and Averting

Voice Controlled Robot with Real Time Barrier Detection and Averting

Robots are the combination of electrical, mechanical and automated systems that are used to perform specific and complex tasks that are given by humans. Robot’s growth from scratch has been tremendous over the years. The concept of developing a robot originated when people begun to think that their work has to be done in a given period of time without any human help. Turning ideas into reality they developed remotely operated robots with wiring system, and then they developed as wireless robot in the form of antenna which covers over a certain distance only. Around 10 th
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Voice Controlled Upper Body Exoskeleton: A Development For Industrial Application

Voice Controlled Upper Body Exoskeleton: A Development For Industrial Application

support to the lower back region during strenuous physical tasks. Several industrial tasks require heavy loads to be lifted from place to place, or up to a specified height. While this could be achieved using a robot or a vehicle to automatically lift the load, it could often prove to be costly and not feasible for the application considering the various parameters needed to carry out the task. Thus, in many cases, the workers of the industry must manually lift the load. This results in great amounts of stress on the arms and shoulders of the worker [4] and very often causes poor posture which could lead to chronic back problems, joint pains and several other medical conditions.
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Design And Development Of Hand-Glove Controlled Robot Arm System

Design And Development Of Hand-Glove Controlled Robot Arm System

In this advanced technology era, robotic arm become an emerging technology for several fields especially for industrial automation sectors. The demand of industrial robotic arm for industrial sector has accelerated significantly from years to years. According to the statistic of world industrial robot by IFR international Federation of Robotics, the sales of industrial robots to all industries rose by 48 % to about 171,000 units between 2010 and 2014 [1]. Todays, several types of remote controlled robotic arm are being developed for the task that is too hazardous and dangerous for human to handle. Hand glove based controlled robotic arm is one of the control method that is able to control the robotic arm remotely from a far distance.
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Development Of System Controller And Voice-Controlled Mobile Application To Control An Omni-Wheeled Mobile Robot

Development Of System Controller And Voice-Controlled Mobile Application To Control An Omni-Wheeled Mobile Robot

The sound wave is analysed with its pitch level, tone, melody scale, bark scale and loudness level to determine whether it is a voice or noise [14]. Voice can be the voice of human or animal. Then, only human voice is classified into the category of speech. Then, the next step is to determine what type language the speech belongs. Throughout this process, different types of method are applied in order to reach the final state [1, 14, 4]. All methods are studied in order to understand the pros and cons of these different approaches.

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INTERACTIVE ROBOT IN HUMAN MACHINE INTERFACE FOR PARTIALLY PARALYTIC PATIENTS.

INTERACTIVE ROBOT IN HUMAN MACHINE INTERFACE FOR PARTIALLY PARALYTIC PATIENTS.

The proposed methodology for the experimentation is as in Fig 1.The design presented in this paper helps in acquiring the data by mounting suitable sensors on the partially paralyzed patients, whose eye movements and brain are assumed to be working normal. The acquired data is suitably preprocessed, along with the removal of spurious signals The data is then transmitted so as to enable the user to interact with the devices interfaced such as graphical user interface or any other interactive devices and assisting himself/herself without the help of any others on whom they were dependent on all the time prior to the development of such an interactive brain machine interface. A voice annunciation can also be implemented to command the interactive device such as directing a robot if interfaced
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A Gesture Learning Interface for Simulated Robot Path Shaping With a Human Teacher

A Gesture Learning Interface for Simulated Robot Path Shaping With a Human Teacher

ARM stands for Advanced RISC Machines. It is a 32 bit processor core, used for high end application. It is widely used in Advanced Robotic Applications. It performs number of instruction in a single cycle compare with other controllers it have advanced features. The Arm CPU with real-time emulation and embedded trace support that combine microcontroller with embedded high speed flash memory ranging from 32 kB to 512 kB. A 128-bit wide memory interface and unique accelerator architecture enable 32-bit code execution at the maximum clock rate. For critical code size applications, the alternative 16-bit Thumb mode reduces code by more than 30 % with minimal performance penalty. Due to their tiny size and low power consumption, LPC2141/42/44/46/48 are ideal for applications where miniaturization is a key requirement, such as access control and point-of- sale. Serial communications interfaces ranging from a USB 2.0 Full-speed device, multiple UARTs, SPI, SSP to I2C-bus and on-chip SRAM of 8 kB up to 40 kB, make these devices very well suited for communication gateways and protocol converters, soft modems, voice recognition and low end imaging, providing both large buffer size and high processing power.
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Arduino based Speech Controlled Robot for Human Interactions

Arduino based Speech Controlled Robot for Human Interactions

---------------------------------------------------------------------***---------------------------------------------------------------------- ABSTRACT - In this paper, Arduino based speech controlled robot can be operate in manufacture line process, automobiles and for physical disable persons. Today many electronic devices are available to reduced the mechanical work of humans, in that speech controlled robot(SCR) is one. The main aim is to recognize the human voice and commanding the robot accordingly. Speech recognition software is used to recognize voice. The project is of two types: one for smart-phone application type and other is for hardware implementation type. Smart-phone application is developed in smart-phones with a controller. Hardware application involves the construction of components like Arduino UNO, Bluetooth module, DC motors, batteries, etc. This system is programmed using Embedded C language for controlling mechanism of robot.
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Design and Development of Gesture Controlled Metal Detecting Robot

Design and Development of Gesture Controlled Metal Detecting Robot

specific tasks which humans cannot. To improve the use of robots where conditions are uncertain such as fire accident or rescue operations, robots can be made on basis of instruction of human operator and perform the task accordingly. The objective of this project is to operate the robot for detecting the bombs. This project is very useful in military applications for detection of the bombs. This project even improves the security performance. Thus, we can use these robots to perform those tasks that may be harmful for humans. This paper describes about the gesture control robot and bomb detecting robot which can be controlled by the gestures of human. It consists of mainly two parts, first part, gesture control is divided into two sections one is transmitter part and another is receiver part. The transmitter will transmit the signal according to the position of accelerometer controlled by gesture and the receiver will receive the signal and make the robot move in respective direction. The second part is metal detection which detects the metals nearby.
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The Vocal Joystick: A Voice Based Human Computer Interface for Individuals with Motor Impairments

The Vocal Joystick: A Voice Based Human Computer Interface for Individuals with Motor Impairments

Several additional direct VJ-applications have also been developed. Specifically, we have directly interfaced the VJ system into a simple blocks world environment, where more precise object movement is possible than via the mouse driver. Specifically, this environment can draw arbitrary trajectories, and can precisely measure user fidelity when moving an object along a trajectory. Fidelity depends both on positional accuracy and task duration. One use of this environment shows the spatial direction corre- sponding to vocal effort (useful for training, forth video example). Another shows a simple robotic arm being controlled by VJ. We plan to use this environment to perform formal and precise user- performance studies in future work.
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Development Of A Simple Robot With Human-Robot Interaction (HRI) Features

Development Of A Simple Robot With Human-Robot Interaction (HRI) Features

Early robot usage was remotely worked gadgets with no or low level of autonomy (Figure 1.2). Tesla (1898) exhibited a radio-controlled boat which he portrayed as consolidating “a borrowed mind.” By the fact, Tesla controlled the boat remotely. His innovation, which he summed up to various sorts of vehicles, was portrayed in patent 613,809, “Method and Apparatus for Controlling Mechanism of Moving Vessels.” Tesla speculated, “you see there the first of a race of robots, mechanical men which will do the laborious work of the human race”. He even imagined at least one or more robot operates all the while coordinating 50 or 100 vehicles (Goodrich and Schultz, 2007).
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Development Of Robot Following Human Using Arduino

Development Of Robot Following Human Using Arduino

This type of robot used in the industry has a lot of variation to navigate in the workspace of a manufacturing building. The often used is the line following robot, this line following robot is cheap and easy to maintain. Line following robot commonly use an infrared (IR) sensor that program to follow the line on the floor of the workspace area. The other kind of robot is use an image processing to follow the path of a targeted object, this is not the commonly use in the industries but it can be use in the shopping markets, airports, hospital and office. Some of the robot is equipped with laser range-finder and omnidirectional camera. The first method is based on visual tracking only and while it works well at slow speeds and controlled conditions(Kroh 2011). Some has robot following with Vision Based Target Detection(Sonoura & Yoshimi 2008)
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Remote Voice Controlled ROBOT
Tanniru Sukanya, B Suresh Ram & G Karthik Reddy

Remote Voice Controlled ROBOT Tanniru Sukanya, B Suresh Ram & G Karthik Reddy

HC-05 module is an easy to use Bluetooth SPP (Serial Port Protocol) module, designed for transparent wireless serial connection setup. Serial port Bluetooth module is fully qualified Bluetooth V2.0+EDR (Enhanced Data Rate) 3Mbps Modulation with complete 2.4GHz radio transceiver and baseband. It uses CSR Bluecore 04- External single chip Bluetooth system with CMOS technology and with AFH(Adaptive Frequency Hopping Feature). It has the footprint as small as 12.7mmx27mm. Hope it will simplify your overall design/development cycle.

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Safe human-robot interaction using a visual interface

Safe human-robot interaction using a visual interface

One of the driving forces behind the development of face tracking system is the goal to allow machines to sense where a user is looking. It is not sufficient to consider the head pose only, the orientation of the eyes must also be measured. The vision based methods that measure the eye gaze direction of a person can be classified into two main groups, use of corneal reflections and localising the iris with respect to the centre of the eye ball. Systems of both categories have evolved from restrictive laboratory based setups to complete unintrusive and unrestrictive systems. Early systems required people to put their heads into fixation frames to suppress head motions [Spindler and Chaumette 1997] and [Klingspohr et al. 1997]. The camera(s) were mounted to point directly at the persons eye(s)4. With the miniaturisation of camera technology it has become feasible for a person to wear the frame and the camera. Most head mounted systems contain a magnetic motion tracker to determine
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Wireless Voice Controlled Fire Extinguisher Robot

Wireless Voice Controlled Fire Extinguisher Robot

Fire-fighting is an important but dangerous occupation. A fire-fighter must be able to get to a fire quickly and safely extinguish the fire, preventing further damage and reduce fatalities. Technology has finally bridged the gap between fire fighting and machines allowing for a more efficient and effective method of fire fighting. Robots designed to find a fire, before it rages out of control, could one day work with fire fighters greatly reducing the risk of injury to victims. Our world is currently facing the global warming whereby the average temperature of our earth atmosphere and oceans is increasing year by year. Studies shows that our earth mean surface temperature has increased about 0.8C which about two-third of increase occurring since 1980 [1]. The global warming of the earth may lead to more forest fire and fire disaster occur as everything gets more flammable due to the high temperature of our earth atmosphere. Therefore, fire extinguishing robot is needed to reduce all the damage cause by natural or human made fire disaster. The project aims at designing an intelligent live video feedback voice operated fire extinguishing robotic vehicle which can be controlled wirelessly.
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Voice Controlled Robot

Voice Controlled Robot

created for people with no profound knowledge of electronics. It includes a code editor with features such as syntax highlighting, brace matching, cutting- pasting and searching-replacing text, and automatic indenting, and provides simple one-click mechanism to compile and upload programs to an Arduino board. It also contains a message area, a text console, a toolbar with buttons for common functions and a series of menus. A program written with the IDE for Arduino is called a "sketch". [40] Sketches are saved on the development computer as files with the file extension .ino. Arduino Software (IDE) pre-1.0 saved sketches with the extension .pde. The Arduino IDE supports the languages C and C++ using special rules to organize code. The Arduino IDE supplies a software library from the Wiring project, which provides many common input and output procedures. User-written code only requires two functions, for starting the sketch and the main programs loop, that are compiled and linked with a program stub main() into an executable cyclic executive program with the GNU toolchain, also included with the IDE distribution. The Arduino IDE employs the program avrdude to convert the executable code into a text file in hexadecimal coding that is loaded into the Arduino board by a loader program in the board's firmware.
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A Smart Voice Controlled Robot Assistant

A Smart Voice Controlled Robot Assistant

At the point when we state voice control, the main term to be considered is Speech Recognition for example making the framework to comprehend human voice. Discourse acknowledgment is where the framework comprehends the words (not its importance) given through discourse. Discourse is a perfect technique for mechanical control and correspondence. The discourse acknowledgment circuit we will plot, works freely from the robot's principle insight [central preparing unit (CPU)]. This is something to be thankful for in light of the fact that it doesn't take any of the robot's primary CPU handling power for word acknowledgment. The CPU should just survey the discourse circuit's acknowledgment lines every so often to check if an order has been given to the robot. We can even enhance this by associating the acknowledgment line to one of the robot's CPU intrude on lines. By doing this, a perceived word would cause an interfere with, telling the CPU a perceived word had been expressed. The upside of utilizing a hinder is that surveying the circuit's acknowledgment line infrequently would never again be essential, further lessening any CPU overhead. Another bit of leeway to this independent discourse acknowledgment circuit (SRC) is its programmability. You can program and prepare the SRC to perceive the interesting words you need perceived. The SRC can be effectively interfaced to the robot's CPU. To control and order an apparatus (PC, VCR, TV security framework, and so forth.) by addressing it, will make it simpler, while expanding the proficiency and viability of working with that gadget. At its most fundamental level discourse acknowledgment enables the client to perform parallel assignments, (for example hands and eyes are occupied somewhere else) while proceeding to work with the PC or machine. Mechanical technology is an advancing innovation. There are numerous ways to deal with building robots, and nobody can be certain which strategy or innovation will be utilized quite a while from now. Like organic frameworks, mechanical autonomy is advancing after the Darwinian model of natural selection. Assume you need to control a menu driven framework. What is the most striking property that you can consider? Well the principal believed that struck a chord is that the scope of contributions to a menu driven framework is restricted. Actually, by utilizing a menu all we are doing is restricting the info area space. Presently, this is one trademark which can be valuable in actualizing the menu in independent framework
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Arduino based Voice Controlled Robot

Arduino based Voice Controlled Robot

Abstract --- Voice Controlled Robot (VCR) is a mobile robot whose motions can be controlled by the user by giving specific voice commands. The speech is received by a microphone and processed by the voice module. When a command for the robot is recognized, then voice module sends a command message to the robot’s microcontroller. The microcontroller analyzes the message and takes appropriate actions. The objective is to design a walking robot which is controlled by servo motors. When any commands are given on the transmitter, the EasyVR module will take the voice commands and convert the voice commands into digital signals. Then these digital signals are transmitted via ZIGBEE module to the robot. On the receiver side the other ZIGBEE module receives the command from the transmitter side and then performs the respective operations. The Hardware Development board used here is ATmega 2560 development board. In ATmega 2560 there are 15 PWM channels which are needed to drive the servo motors. Addition to this there is camera which is mounted in the head of the robot will give live transmission and recording of the area. The speech- recognition circuit functions independently from the robot’s main intelligence [central processing unit (CPU)]. This is a good thing because it doesn’t take any of the robot’s main CPU processing power for word recognition. The CPU must merely poll the speech circuit’s recognition lines occasionally to check if a command has been issued to the robot. The software part is done in Arduino IDE using Embedded C. Hardware is implemented and software porting is done.
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