• Constructed an energy optimized Autonomous Surface Vehicle (ASV) for long-term ocean cruise with Raspberry Pi. Achieved the seamless real-time communication between the Raspberry Pi and PC using python.
• Integrated EVM and IMU sensors with Raspberry Pi to collect essential data from ASV. Designed a real-time feedback algorithm to control the ASV’s cruise trajectory according to the collected ASV’s attitude information.
• Analyzed the energy data and cruise trajectory to optimize the energy usage with the chosen heading angle.
• Publication: Z. Zhang, Z. Yao, Q. Sun et al ‘Energy Optimization Based on Automatic Hybrid Sailboat’
Oral: 2018 IEEE International Conference on Robotics and Biomimetics in Kuala Lumpur, Malaysia