We propose a robust, learning-free robotic peg-in-hole assembly system that leverages compliant, contact-rich interactions to eliminate both perception and execution uncertainties. By actively seeking contact and exploiting environmental constraints, our method enables reliable assembly across diverse scenarios without precise perception or prior training.