The Department of Electrical Engineering at Andhra University, India, in collaboration with the Centre for New Energy Transition Research at Federation University Australia, conducted a detailed evaluation of PV panel performance using hybrid-integrated solar tracking algorithms. The analysis found that conventional dual-axis solar tracking systems improved output power by 54.36% compared with fixed panels but simultaneously reduced the battery state-of-charge by 18.12%, highlighting significant operational challenges. To address these shortcomings, the researchers developed hybrid continuous, hybrid semi-continuous, and GPS-based algorithms designed to enhance power output while lowering energy demand and improving stability. The hybrid continuous mode raised output by 38.69% with a 19.29% SOC reduction, while the semi-continuous mode improved output by 21.54% with a 16.39% decline. The GPS-integrated algorithm achieved a 27% increase with a 15.21% SOC drop, and mechanical counterweights further reduced energy use by 15% across all modes. Validation through Proteus 8 simulations, C-based coding, and robotic prototype testing with Sunforce PV modules confirmed the improved stability, efficiency, and reliability.