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cs.RO2026
Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning
Stella Kombo, Masih Haseli, Skylar X. Wei +1
Autonomous systems often must predict the motions of nearby agents from partial and noisy data. This paper asks and answers the question: "can we learn, in real-time, a nonlinear p…
cs.RO2025
Koopman Operators in Robot Learning
Lu Shi, Masih Haseli, Giorgos Mamakoukas +5
Koopman operator theory offers a rigorous treatment of dynamics and has been emerging as an alternative modeling and learning-based control method across various robotics sub-domai…