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Computer Vision for Robot cooperation
Navigating a ground robot in a disaster response scenario is a difficult task. The aim of this project is to use drones to follow a ground robot and extend its field of view for operation in dangerous disaster response scenarios.
Keywords: field robotics, visual servoing, SaR robotics, object detection
In this project we aim to enable drones equipped with camera sensors to detect and follow a ground robot, and enable several interactive functionalities, such as the extension of the field of view of a robot operator and picking of samples.
In this project we aim to enable drones equipped with camera sensors to detect and follow a ground robot, and enable several interactive functionalities, such as the extension of the field of view of a robot operator and picking of samples.
- Adapt and extent state-of-the-art methods for visual servoing of a MAV above a ground robot.
- Implement picking of samples with the MAV.
- Test your algorithms on real research-grade robots.
- Familiarize yourself with the current state of the art.
- Adapt and extent state-of-the-art methods for visual servoing of a MAV above a ground robot. - Implement picking of samples with the MAV. - Test your algorithms on real research-grade robots. - Familiarize yourself with the current state of the art.
- Good understanding of algorithmic challenges.
- Knowledge of C++ is mandatory.
- Knowledge of ROS is recommended.
- Have a hands-on-attitude to work with real research robots.
- Be curious about pushing the limits of today's robotics.
- Strong self-motivation and critical mind.
- Students from outside of D-MAVT (particularly, from D-INFK, D-ITET, D-PHYS, and D-MATH) are also highly encouraged to apply.
- Good understanding of algorithmic challenges. - Knowledge of C++ is mandatory. - Knowledge of ROS is recommended. - Have a hands-on-attitude to work with real research robots. - Be curious about pushing the limits of today's robotics. - Strong self-motivation and critical mind. - Students from outside of D-MAVT (particularly, from D-INFK, D-ITET, D-PHYS, and D-MATH) are also highly encouraged to apply.
If you are interested, please send your transcripts and CV to Abel Gawel (gawela@ethz.ch) and Cesar Cadena (cesarc@ethz.ch).
If you are interested, please send your transcripts and CV to Abel Gawel (gawela@ethz.ch) and Cesar Cadena (cesarc@ethz.ch).