We focus on developing algorithms and systems for versatile real-world aerial manipulation applications. Our wonderful teammates are working on all aspects of robotics, including imitation learning, reinforcement learning, motion planning, control, perception (vision, tactile, SLAM, etc.), hardware design, and system integration. We believe highly motivated students with different backgrounds can all find a place in the project.
For our previous work, please check the website:
What skills are required to be able to successfully execute the project?
We need a variety of students working on different aspects. Students with one or more skills in the following areas are welcome. To ensure promising progress, we require students to devote a certain time or contribution.
design:
- Background and experience in general mechanical design, or
- Background and experience with UAV/UAM design.
- Rich experience in using Solidworks or other CAD software.
- Solid backgrounds in classic control and/or modern control.
perception:
- Background in SLAM, or
- Background in computer vision, tactile sensing
- Rich experience with Python or C++.
learning:
- Background and experience in robotic manipulation.
- Experience with simulation environments such as Isaac, MuJoCo, Gazebo, etc.
- Experience with Python or C++.
Learn and develop innovative aerial manipulation algorithms and systems for realistic outdoor high-altitude manipulation tasks.
Not a hard limit. We care more about talent and potential.
Scientist, postdoc, or student to contact about the project:
Xiaofeng Guo, Guanqi He