AI Navigation Center

This innovation center is dedicated to developing the core control systems that enable autonomous mowing, including navigation and positioning, path planning, dynamic obstacle avoidance, multi-sensor fusion, and behavioral decision-making. With the integration and optimization of multiple advanced positioning technologies - such as Real-Time Kinematics (RTK), network RTK, visual SLAM, and radar-based localization—to enhance environmental perception and precision. By developing scenario-specific localization strategies, this center ensures high-precision, stable positioning and robust execution efficiency across complex outdoor scenarios and varying geographic and network conditions.

Gardening Environment Center

Leads research in overall terrain and especially grass condition modeling with real-time environment analysis, including grass type classification, density and height sensing, growth trend estimation, and health data feedback. This enables our Sunseeker robots to intelligently adjust mowing strategies based on diverse lawn conditions to optimize performance and maintain lawn health.

Power Mechanical Center

Sunseeker’s third research center focuses on the goal to enhance off-road capability, maximize power efficiency, and ensure consistent runtime performance across a wide range of terrain conditions while focussing on high-torque magnetic motors, All-Wheel Drive (AWD) systems, high-rate batteries, and intelligent power management technologies.