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idSTLPy: A Python Toolbox for Active Perception and Control
This paper describes a Python toolbox for active perception and control synthesis of probabilistic signal temporal logic (PrSTL) formulas of switched linear systems with additive Gaussian disturbances and measurement noises.
Active Perception and Control from PrSTL Specifications
This work combines symbolic control with active perception to achieve complex tasks in a partially observed and noisy control system with hybrid dynamics.
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