most citedUnsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization

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cs.RO2026

Coupled Local and Global World Models for Efficient First Order RL

Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard +1

World models offer a promising avenue for more faithfully capturing complex dynamics, including contacts and non-rigidity, as well as complex sensory information, such as visual pe…

cs.RO2026

Learning-Guided Force-Feedback Model Predictive Control with Obstacle Avoidance for Robotic Deburring

Krzysztof Wojciechowski, Ege Gursoy, Arthur Haffemayer +4

Model Predictive Control (MPC) is widely used for torque-controlled robots, but classical formulations often neglect real-time force feedback and struggle with contact-rich industr…