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cs.RO2026
Learning the Right Abstraction: Neural Reduced Dynamics for Complex Robot Control
Harry Zhang, Dan Negrut
High-fidelity embodied AI simulators provide realistic evaluation of complex robotic systems, but their computational cost limits their direct use for large-scale reinforcement lea…
cs.RO2026
Co-Design of Rover Wheels and Control using Bayesian Optimization and Rover-Terrain Simulations
Huzaifa Mustafa Unjhawala, Khizar Shaikh, Luning Bakke +2
While simulation is vital for optimizing robotic systems, the cost of modeling deformable terrain has long limited its use in full-vehicle studies of off-road autonomous mobility.…