Kinematic Error

Kinematic error, the discrepancy between a robot's actual and intended movement, is a critical challenge limiting the precision of robotic systems across diverse applications. Current research focuses on developing advanced models, including neural networks, Gaussian processes, and ensembles of diverse algorithms, to accurately predict and compensate for these errors. These efforts leverage data-driven approaches and aim to improve calibration accuracy and efficiency, particularly in complex systems like harmonic drives and concentric tube robots. Ultimately, reducing kinematic error is crucial for enhancing the reliability and performance of robots in manufacturing, surgery, and space exploration.