Theses in Robotics: Difference between revisions
No edit summary |
|||
| Line 1: | Line 1: | ||
= Projects in Robotics = | = Projects in Robotics = | ||
== Development of demonstrative and promotional applications for KUKA Youbot == | == Development of demonstrative and promotional applications for KUKA Youbot == | ||
[[Image:Youbot.png|200px|thumb|right|KUKA youBot]] | |||
The goal of this project is to develop promotional use cases for KUKA youbot, that demonstrate the capabilities of modern robotics and inspire people to get involved with it. | The goal of this project is to develop promotional use cases for KUKA youbot, that demonstrate the capabilities of modern robotics and inspire people to get involved with it. | ||
The use cases or demo tasks comprise: | The use cases or demo tasks comprise: | ||
Revision as of 12:22, 16 December 2016
Projects in Robotics
Development of demonstrative and promotional applications for KUKA Youbot
The goal of this project is to develop promotional use cases for KUKA youbot, that demonstrate the capabilities of modern robotics and inspire people to get involved with it. The use cases or demo tasks comprise:
- 3D vision
- autonomous navigation
- path planning
- object manipulation
- and human compliance.
ROS drivers for open-source mobile robot
The goal of the project is to develop Robotic Operating System (ROS) wrapper functions for drivers of an open-source mobile robot platform, that has been successfully used in Robotex competitions. The outcome of this work will give a lot of educational uses and rapid prototyping opportunities for the platform.
Detecting features of urban and off-road surroundings
Accurate navigation of self-driving unmanned robotic platforms requires identification of traversable terrain. A combined analysis of point-cloud data with RGB information of the robot's environment can help autonomous systems make correct decisions. The goal of this work is to develop algorithms for terrain classification.
Building large-scale robotics simulation environments
Developing large area simulation worlds for mobile robotics. In order to develop robot navigation algorithms, it is more time- and cost-efficient to test robot behavior in a wide range of realistically simulated worlds. These simulated worlds include both indoor and outdoor environments. This work focuses on designing robot simulation environments using an open-source platform Gazebo.
Follow-the-leader robotic demo
The idea is to create a robotic demonstration where a mobile robot is using Kinect or similar depth-camera for identifying a person and then starts following that person. The project will be implemented using Robot Operating System (ROS) on either KUKA youbot or similar mobile robot platform.
Detecting hand signals for intuitive human-robot interface
This project involves creating ROS libraries for using either a Leap Motion Controller or an RGB-D camera to detect most common human hand signals (e.g., thumbs up, thumbs down, all clear, pointing into distance, inviting).
Integrating virtual reality to intuitive teleoperation system
Adding virtual reality capability to a gesture- and natural-language-based robot teleoperation system.