Control Engineer

Responsibilities

1. Develop advanced control algorithms for drones with robotic arms with multiple DoF to achieve precise manipulation tasks.
2. Optimize control strategies for efficient utilization of resources while maintaining stability and safety during aerial manipulation operations.
3. Implement adaptive control techniques to accommodate varying environmental conditions and payloads for enhanced performance.
4. Integrate and synchronize control systems between aerial platforms and robotic manipulators to ensure seamless operation and coordination.
5. Conduct extensive testing and validation of control algorithms in simulation environments and real-world scenarios to assess performance and reliability.

Key Responsibilities

1. Design and implement control algorithms using ROS2 frameworks for aerial manipulation systems.
2. Collaborate with cross-functional teams to integrate and test control systems on various drone platforms and robotic manipulators.
3. Analyze and optimize control performance through simulation and real-world experimental testing, iterating designs as necessary.
4. Troubleshoot and debug control software and hardware issues to ensure smooth operation of aerial manipulation systems.
5. Stay updated with the latest advancements in aerial robotics and manipulation control techniques, incorporating relevant innovations into project development.

Requirements

1. Proficiency in ROS and ROS2 for developing and implementing control algorithms. Preferably, understanding on ROS2 Control.
2. Strong programming skills in languages such as Python, C++, and MATLAB.
3. Familiarity with robotics simulation tools (e.g., Rviz, Unity, Gazebo).
4. Experience with drone control frameworks such as PX4, ArduPilot, DJIs, and others.
5. Strong background in control theory and algorithms, particularly in the context of aerial manipulation.
6. Familiarity with robotics manipulators, their kinematics and dynamics.
7. Excellent problem-solving and analytical abilities.
8. Strong communication and collaboration skills.
9. Ability to work independently and as part of a team.
10. Attention to detail and commitment to quality.
11. Adaptability and willingness to learn new technologies and methodologies.