Dispatching multiple robots in a urban environment
Performing verification and validation on robots is necessary to ensure they behave appropriately and safely. However, conducting such tests is labor-intensive and costly. Recent studies show that simulation-based testing for the verification and validation of robotic systems may be a less time-c...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/156522 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Performing verification and validation on robots is necessary to ensure they behave
appropriately and safely. However, conducting such tests is labor-intensive and
costly. Recent studies show that simulation-based testing for the verification and
validation of robotic systems may be a less time-consuming, more economical, and
more scalable alternative to testing in the field. Despite the advantages, field testing
remains the dominant approach due to 3 main reasons: reality gaps, complexity, and
lack of capability. This report aims to address the concerns by developing a realistic
simulator by combining Gazebo, a 3D dynamic simulator that is capable of
simulating robots in an outdoor complex environment, ROS, an open-source robotics
framework able to support the reuse of code, allowing the code used in the virtual
robot to be the same as the one used in a real robot, and open street maps, which
extracts real-world geographical data to construct the virtual world. With the use of
a Docker image, users can run the simulation independently without any dependency
or compilation problems. The simulator has a RESTful API, that allows the user to
interact with the simulator through the use of HTTP requests. This results in a
realistic, simple to use, and with all the capabilities the user requires to accurately
and effectively simulate the dispatching algorithm. |
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