Dynamics-Guided Trajectory Generation
In progress - diffusion-based excavator trajectories with learned dynamics
This ongoing work studies diffusion-based trajectory planning for hydraulic excavators with learned forward and inverse dynamics models. The planner uses dynamics guidance during sampling to generate observation-control trajectories that are more coherent with hydraulic actuation delays, valve dead zones, and machine-specific nonlinear dynamics.
Status: In progress