Reno Saputra

Papers

Total Citations

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About

Reno Saputra is a robotics researcher whose work focuses on humanoid robot control, particularly in the competitive domain of robot soccer. His key research areas include motion planning, vision-based localization, and autonomous decision-making for humanoid platforms. Saputra’s major contribution is the development of a control strategy for the striker of Barelang-FC, a humanoid robot soccer team. His most cited paper, "A Control Strategy to Estimate the Robot Position Of Barelang-FC Striker" (2019), addresses the critical challenge of enabling a robot to accurately move to the ball’s position before executing a kick. By integrating the robot’s structural kinematics with camera vision data, Saputra’s approach enhances positional estimation and responsiveness during gameplay. This work has garnered 3 citations, reflecting its niche but valuable impact on humanoid robotics and RoboCup research. Saputra’s achievements include contributing to the advancement of autonomous robot behavior in dynamic environments, a cornerstone of modern robotics. His research offers practical insights for students and engineers interested in real-time control systems, sensor fusion, and the application of robotics in competitive settings.