Develop and design the controls system architecture for the autonomous drone painting system.
Collaborate with multidisciplinary teams to integrate control components seamlessly with the robotic arm and drone platform.
Ensure compliance with industry standards and regulations for safety and performance.
Algorithm Development:
Design and implement control algorithms for precise positioning, movement, and coordination of the robotic arm and drone.
Optimize algorithms to achieve efficient and accurate painting in complex and intricate spaces.
Sensors Integration:
Integrate and calibrate various sensors such as cameras, LiDAR, and other relevant sensors for real-time feedback and environmental awareness.
Develop sensor fusion strategies to enhance the system's perception and decision-making capabilities.
Autonomous Navigation:
Implement autonomous navigation algorithms to enable the drone to navigate and position itself around high-rise structures with minimal human intervention.
Ensure robust obstacle detection and avoidance mechanisms to guarantee the safety of the painting process.
Communication Systems:
Develop communication protocols for reliable data exchange between the drone, robotic arm, and central control system.
Implement redundancy and fail-safe mechanisms to ensure continuous operation.
Testing and Validation:
Conduct extensive testing and validation procedures to verify the performance, accuracy, and reliability of the controls system.
Collaborate with field engineers to troubleshoot and resolve any issues that may arise during testing or deployment.
Documentation:
Prepare detailed documentation of control system designs, algorithms, and testing procedures.
Provide training and support to other team members and stakeholders.
Qualifications:
Bachelor's or Master's degree in Electrical Engineering, Controls Engineering, or a related field.
Proven experience in designing controls systems for robotic applications, preferably with experience in drones or autonomous systems.
Proficiency in programming languages such as C++, Python, or MATLAB.
Strong knowledge of control theory, algorithms, and real-time systems.
Familiarity with sensor integration, autonomous navigation, and communication protocols.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration skills in a multidisciplinary team environment.
