Please find attached a tarball of the uCos Code that can run on Firebird V. It compiles for sure without any errors. Not yet tested with Firebird but can be a good stating point for all of you.
It must be placed in E:/ got to jlu/STK500 folder and run "Make Clean", "Make all".
If you place it somewhere else make sure you edit the "Makefile".
Also provide appropriate clock frequency in test.c
Controlling Firebird Robot V 2560 with the help of TV remote control which works on RC5 Coding. The receiver TSOP 1738 which is placed on firebird, receives IR-signals emitted by remote and process the codes. According to code it perform actions.
Adaptive High Beam Assist using FireBird P89V51RD2. Its automatic switches the light beam of car according to coming cars for safety purpose on highways.
Automatic Parking Lot using FireBird V P89V51RD2. Robot searches for empty space for parking. First priority is given to left side paring space. If any robot is comes infront of it, its starts beeping...
Implement a self-parking car (here the FIREBIRD robot), which detected if parking is possible in a vacant space to fit the bot. In case of a vacancy, the bot parks itself, else it moves ahead until it finds a place to park.
The LOGO program will be given to the interpreter on a computer (or laptop). The interpreter has to send messages to the robot via zigbee. The robot has to correctly respond to the messages and draw the figure accordingly.
There are 5 PWM channels available on Firebird V P89V51RD2 Robot. P89V51RD2 microcontroller supports 8 bit of PWM. So we get 25 positions to move the servo.
Specialized designed drum ball collector which collect balls in basket as well as it also count and sort balls according to it color. Color sensor is fixed on cup which collect the ball.
The Grid Solving Algorithm is developed using ilabs' PROJECT SHREE BOARD VER 2.1. This algorithm is used to solve the grid. The algorithm is designed to solve the grid of any size. Also it displays the current location and direction vector on 16 X 2 LCD.
The objective is to develop a robot to automatically detect and pick objects as per specifications. It will sort the objects based on color and size, and place them separately.
The project involves the design and implementation of an engineering solution to the problem of autonomous geological obstacle detection and avoidance. Given an Arena with objects placed in a random manner the Robot scans the area to create a Depth Map. Using this determines the position of the objects creating a position map and takes precise action to navigate around the obstacles.
The aim of our project is to build a system which would allow a user to control the motion of a rebird bot by hand gestures. The hand gestures of a user will be captured by a hand glove worn by the user. The glove, which is mounted with an accelerometer, will transmit data wirelessly to a rebird bot. The microcontroller on the bot will sense the gestures and the motion will be executed as per a set of prede ned norms.
Exploration of an unknown environment searching operations inside buildings, caves, tunnels and mines are sometimes extremely dangerous activities. The use of autonomous bots to perform such tasks in complex environments will reduce the risk of these missions.
The aim of the project is to make the Firebird V robot traverse along arbitrarily shaped curved paths. A binary image of the curve(s) is taken as input and the Robot is expected to trace the path depicted in the image as faithfully as possible. The degree of accuracy in tracing the path can be verified by attaching a Marker to the Robot so that it draws the curve as it traces the path. The image may contain multiple instances of curves, in which case, the Robot is supposed to draw all the curves by lifting the Marker up and down at appropriate points.
In our project, we find the optimal path between a source node and a destination node. Edges are links of white lines and nodes are where the edges intersect each other. The bot detects the number of outgoing edges from a given node and starts travelling on one of the unvisited edges. When it exhausts all the outgoing edges i.e. it reaches the destination, it backtracks to the immediate node which has unvisited outgoing edges. This is done till all the paths from the source to the destination are traversed and the distances measured. Hence we can find the optimal path from the source to destination in our multi-stage graph.
Find out more about latest research work being done at NEX Robotics. Here you will find links/papers demonstrating research done on our latest development platforms.
NEWS
Nex robotics has added support for Microsoft Robotics Developer Studio (MRDS) on FireBird V research platform. FireBird V is one of the most widely deployed research platforms designed by Department of CSE, IIT Bombay and Nex robotics.
NEX Robotics has designed Intelligent autonomous transport vehicle for transporting personals autonomously inside the campus and for advance research in mobile robotics.
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