In this work, we present the initial steps in the development of a digital twin of the agricultural autonomous vehicle, Robotti. A model of the vehicle dynamics is initially developed in the open-source multi-physics code, Chrono, and then wrapped as a Functional Mock-up Unit. We provide an overview of the envisioned digital twin system and a description of currently implemented features. The dynamic system of the vehicle chassis is characterised by the implementation of a revolute joint that ensures wheel–surface contact in uneven terrain. The vehicle dynamics model is applied for testing two scenarios describing the loads on the vehicle as a consequence of this mechanism. Finally, we give pointers to future work on modelling the Robotti and the establishment of a digital twin.

This paper presents a new method to generate vibration free rest-to-rest (RTR) trajectories for configuration dependent dynamic systems, such as robots, cranes or machine tools. The new method named 3-Segmented Input Shaping is based on a combination of the widely known Input Shaping method and a new trajectory segmentation strategy for piece wise shaping of the trajectory. The new segmentation strategy facilitates the capability of accounting for variations in system dynamics during motion by shaping acceleration and deceleration profiles with individual frequencies. In this paper the new segmentation strategy is used in combination with the bang-coast-bang (BCB) trajectory. The generated trajectories are described in closed form, hence requires no optimization and thereby provides strong computational performance. The new method is verified by numerical simulations and detailed analysis and shows great potential in vibration-free RTR trajectory generation for systems with configuration dependent dynamics.