Dynamic modelling and parameter identification stand at the forefront of advancing robotics, enabling the precise simulation and control of robotic systems in increasingly complex real-world ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Automated identification in materials handling must operate across variable package orientation, materials and flow ...