Open access
Jul 2026
Physics-Informed Learning for Forward Kinematics of Robotic Manipulators Under Uncertainty
Experimental results demonstrate that the learned uncertainty consistently bounds the observed end-effector variability for both translational and rotational components, while achieving improved probabilistic calibration, reliable empirical coverage, and significantly lower inference cost.
D. Nguyen, Xuân Thắng Vũ, Truong Do et al.
· Journal of Mechanisms and Ro... · 1 citation