Projects - User contributions [en]

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:53:46Z

A1631858:

'''Project Introduction:'''

The goal of this project is to extend the functionality and navigation performance of an existing robot platform by adding a movable 3D Kinect sensor. The robot will be able to navigate through the environment and perform collision avoidance whilst it searches for an object of interest.

Objectives:

--Collision avoidance

--Object recognition

--Path planning

[[File:-31Robot.PNG]]

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.

'''Hardware Approach:'''

The hardware structure is based on the previous project robot structure. The existing platforms are eight ultrasonic sensors, one Mux-shield board, one Wild-thumper board and four motors. To implement object recognition and path planning, a kinect sensor and a servo motor is added to the existing platform.

[[File:31Hardware.PNG]]

'''Software Approach:'''

The kinect image processing code and the Path Planning & Collision avoidance code are written in C++. Kinect image processing program not only output the object information, but also output wide range environment information. The output data then are used by the decision making program.

[[File:31Software.PNG]]

'''Object Recognition:'''

The Object Recognitoin is performed by 3D Kinect Sensor. In our project, the robot could recognize a simple object with a simple color. An example is showing below: A yellow ball is recognized.

[[File:31Object.PNG]]

'''Path planning:'''

In this project, the path planning mathod is 'Find the open space'. An example is showing below: the red line are suggesting the open spaces that detected

[[File:31Openspace.PNG]]

'''Collision avoidance:'''

Collision avoidance objective is performed by acoustic sensors. The logic of avoidance is showing below

[[File:31Avoidance.PNG]]

'''Testing:'''

A test result is showing below. It is suggesting that the robot is able to detect object, find the open space for navigation, and avoid collision.

[[File:31Test.PNG]]

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:53:06Z

A1631858:

'''Project Introduction:'''

The goal of this project is to extend the functionality and navigation performance of an existing robot platform by adding a movable 3D Kinect sensor. The robot will be able to navigate through the environment and perform collision avoidance whilst it searches for an object of interest.
Objectives:

--Collision avoidance

--Object recognition

--Path planning

[[File:-31Robot.PNG]]

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.

'''Hardware Approach:'''
The hardware structure is based on the previous project robot structure. The existing platforms are eight ultrasonic sensors, one Mux-shield board, one Wild-thumper board and four motors. To implement object recognition and path planning, a kinect sensor and a servo motor is added to the existing platform.

[[File:31Hardware.PNG]]

'''Software Approach:'''
The kinect image processing code and the Path Planning & Collision avoidance code are written in C++. Kinect image processing program not only output the object information, but also output wide range environment information. The output data then are used by the decision making program.

[[File:31Software.PNG]]

'''Object Recognition:'''

The Object Recognitoin is performed by 3D Kinect Sensor. In our project, the robot could recognize a simple object with a simple color. An example is showing below: A yellow ball is recognized.

[[File:31Object.PNG]]

'''Path planning:'''

In this project, the path planning mathod is 'Find the open space'. An example is showing below: the red line are suggesting the open spaces that detected

[[File:31Openspace.PNG]]

'''Collision avoidance:'''

Collision avoidance objective is performed by acoustic sensors. The logic of avoidance is showing below

[[File:31Avoidance.PNG]]

'''Testing:'''

A test result is showing below. It is suggesting that the robot is able to detect object, find the open space for navigation, and avoid collision.

[[File:31Test.PNG]]

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:52:15Z

A1631858:

'''Project Introduction:'''

The goal of this project is to extend the functionality and navigation performance of an existing robot platform by adding a movable 3D Kinect sensor. The robot will be able to navigate through the environment and perform collision avoidance whilst it searches for an object of interest.
Objectives:

--Collision avoidance

--Object recognition

--Path planning

[[File:-31Robot.PNG]]

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.

'''Hardware Approach:'''
The hardware structure is based on the previous project robot structure. The existing platforms are eight ultrasonic sensors, one Mux-shield board, one Wild-thumper board and four motors. To implement object recognition and path planning, a kinect sensor and a servo motor is added to the existing platform.

[[File:31Hardware.PNG]]

'''Software Approach:'''
The kinect image processing code and the Path Planning & Collision avoidance code are written in C++. Kinect image processing program not only output the object information, but also output wide range environment information. The output data then are used by the decision making program.

[[File:31Software.PNG]]

'''Object Recognition:'''
The Object Recognitoin is performed by 3D Kinect Sensor. In our project, the robot could recognize a simple object with a simple color. An example is showing below: A yellow ball is recognized.

[[File:31Object.PNG]]

'''Path planning:'''
In this project, the path planning mathod is 'Find the open space'. An example is showing below: the red line are suggesting the open spaces that detected

[[File:31Openspace.PNG]]

'''Collision avoidance:'''
Collision avoidance objective is performed by acoustic sensors. The logic of avoidance is showing below

[[File:31Avoidance.PNG]]

'''Testing:'''
A test result is showing below. It is suggesting that the robot is able to detect object, find the open space for navigation, and avoid collision.

[[File:31Test.PNG]]

File:31Test.PNG

2014-10-29T13:52:04Z

A1631858: Test result

Test result

File:31Avoidance.PNG

2014-10-29T13:48:06Z

A1631858: Collision avoidance logic

Collision avoidance logic

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:47:00Z

A1631858:

'''Project Introduction:'''

The goal of this project is to extend the functionality and navigation performance of an existing robot platform by adding a movable 3D Kinect sensor. The robot will be able to navigate through the environment and perform collision avoidance whilst it searches for an object of interest.
Objectives:
--Collision avoidance
--Object recognition
--Path planning

[[File:-31Robot.PNG]]

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.

'''Hardware Approach:'''
The hardware structure is based on the previous project robot structure. The existing platforms are eight ultrasonic sensors, one Mux-shield board, one Wild-thumper board and four motors. To implement object recognition and path planning, a kinect sensor and a servo motor is added to the existing platform.

[[File:31Hardware.PNG]]

'''Software Approach:'''
The kinect image processing code and the Path Planning & Collision avoidance code are written in C++. Kinect image processing program not only output the object information, but also output wide range environment information. The output data then are used by the decision making program.

[[File:31Software.PNG]]

'''Object Recognition:'''
The Object Recognitoin is performed by 3D Kinect Sensor. In our project, the robot could recognize a simple object with a simple color. An example is showing below: A yellow ball is recognized.

[[File:31Object.PNG]]

'''Path planning:'''
In this project, the path planning mathod is 'Find the open space'. An example is showing below: the red line are suggesting the open spaces that detected

[[File:31Openspace.PNG]]

File:31Openspace.PNG

2014-10-29T13:45:45Z

A1631858: Openspace example

Openspace example

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:41:37Z

A1631858:

File:31Object.PNG

2014-10-29T13:40:56Z

A1631858: Group 31 Object

Group 31 Object

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:19:33Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

[[File:-31Robot.PNG]]

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.

'''Hardware Approach:'''
For Hardware approach, connect the Kinect 3D sensor and 8 acoustic sensors to the board correctly is essential. Secondly, the code that upload to the microcontoller contains the wheels control command, Ultrasonic sensors and the Kinect sensor activating command.

[[File:31Hardware.PNG]]

'''Software Approach:'''
For software approach, first of all serial port communication issue has been taking serious because it use to be a big problem when processing the project. Then the data type. Thirdly is the Kinect sensor programming. After that, we write the logic code, test it and modify.

[[File:31Software.PNG]]

File:31Hardware.PNG

2014-10-29T13:19:06Z

A1631858: Group31 Hardware approach

Group31 Hardware approach

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:15:59Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

[[File:-31Robot.PNG]]

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.

'''Hardware Approach:'''
For Hardware approach, connect the Kinect 3D sensor and 8 acoustic sensors to the board correctly is essential. Secondly, the code that upload to the microcontoller contains the wheels control command, Ultrasonic sensors and the Kinect sensor activating command.

[[File:Hardware.png]]

'''Software Approach:'''
For software approach, first of all serial port communication issue has been taking serious because it use to be a big problem when processing the project. Then the data type. Thirdly is the Kinect sensor programming. After that, we write the logic code, test it and modify.

[[File:31Software.PNG]]

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:15:10Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

[[File:-31Robot.PNG]]

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.

'''Hardware Approach:'''
For Hardware approach, connect the Kinect 3D sensor and 8 acoustic sensors to the board correctly is essential. Secondly, the code that upload to the microcontoller contains the wheels control command, Ultrasonic sensors and the Kinect sensor activating command.

[[File:Hardware.png]]
'''Software Approach:'''
For software approach, first of all serial port communication issue has been taking serious because it use to be a big problem when processing the project. Then the data type. Thirdly is the Kinect sensor programming. After that, we write the logic code, test it and modify.

[[File:31Software.png]]

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T13:11:22Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors
[[File:-31Robot.PNG]]

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.

'''Hardware Approach:'''
For Hardware approach, connect the Kinect 3D sensor and 8 acoustic sensors to the board correctly is essential. Secondly, the code that upload to the microcontoller contains the wheels control command, Ultrasonic sensors and the Kinect sensor activating command.
[[File:Hardware.png]]
'''Software Approach:'''
For software approach, first of all serial port communication issue has been taking serious because it use to be a big problem when processing the project. Then the data type. Thirdly is the Kinect sensor programming. After that, we write the logic code, test it and modify.
[[File:31Software.png]]

File:31Software.PNG

2014-10-29T13:10:54Z

A1631858: Software diagram

Software diagram

File:-31Robot.PNG

2014-10-29T13:08:56Z

A1631858: -31Robot

-31Robot

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T12:46:56Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.
[[File:Hardware.png]]
For Hardware approach, connect the Kinect 3D sensor and 8 acoustic sensors to the board correctly is essential. Secondly, the code that upload to the microcontoller contains the wheels control command, Ultrasonic sensors and the Kinect sensor activating command.

For software approach, first of all serial port communication issue has been taking serious because it use to be a big problem when processing the project. Then the data type. Thirdly is the Kinect sensor programming. After that, we write the logic code, test it and modify. At last, we arrange the whole process into this order:

'''Hardware Approach:'''

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T12:46:15Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

'''Overall Approach:'''

There are two parts to approach. One part is the Hardware and the other part is Software approach.
[[File:Hardware.PNG]]
For Hardware approach, connect the Kinect 3D sensor and 8 acoustic sensors to the board correctly is essential. Secondly, the code that upload to the microcontoller contains the wheels control command, Ultrasonic sensors and the Kinect sensor activating command.

For software approach, first of all serial port communication issue has been taking serious because it use to be a big problem when processing the project. Then the data type. Thirdly is the Kinect sensor programming. After that, we write the logic code, test it and modify. At last, we arrange the whole process into this order:

'''Hardware Approach:'''

File:Hardware.png

2014-10-29T12:44:59Z

A1631858: A1631858 uploaded a new version of "File:Hardware.png"

#31 Hardware approach

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-29T12:42:24Z

A1631858:

File:Hardware.png

2014-10-29T12:41:44Z

A1631858: #31 Hardware approach

#31 Hardware approach

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-05T15:06:29Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

'''Overall Approach:'''

There are two parts to approach. One part is the Wild-thumper board and the other part is the C++ coding.
For Wild-thumper board part, connect the Kinect 3D sensor and 8 acoustic sensors to the board correctly is essential. Secondly, the code that upload to the microcontoller contains the wheels control command, Ultrasonic sensors and the Kinect sensor activating command.
For C++ coding part, first of all serial port communication issue has been taking serious because it use to be a big problem when processing the project. Then the data type. Thirdly is the Kinect sensor programming. After that, we write the logic code, test it and modify. At last, we arrange the whole process into this order:

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-05T14:49:34Z

A1631858:

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-05T14:35:50Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

'''Overall Approach:'''

'''Team Members:'''

Yinzia Pang

Yingzheng Wang

'''Supervisors'''

Danny Gibbins

Braden Phillips

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-05T14:35:29Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

'''Overall Approach:'''

'''Team Members:'''
Yinzia Pang

Yingzheng Wang

'''Supervisors'''
Danny Gibbins

Braden Phillips

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-05T14:35:11Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

'''Overall Approach:'''

'''Team Members:'''
Yinzia Pang

Yingzheng Wang

'''Supervisors'''
Danny Gibbins

Braden Phillips

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-05T14:34:41Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

'''Overall Approach:'''

'''Team Members:'''
Yinzia Pang

Yingzheng Wang
'''Supervisors'''
Danny Gibbins

Braden Phillips

Projects:2014S1-31 Autonomous Robot Navigation using a Movable Kinect 3D sensor

2014-10-05T14:34:17Z

A1631858:

'''Project Introduction:'''

The goal of this project is to connect a Kinect 3D sensor to the existing robot which is current navihas 8 acoustic sensors

'''Overall Approach:'''

'''Team Members:'''
Yinzia Pang
Yingzheng Wang
'''Supervisors'''
Danny Gibbins
Braden Phillips