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Qian Cheng

3 accepted papers

2026

Closed-Loop Multimodal Sensory Training Enhances the Proprioceptive-Motor Pathway: Low-Load Automaticity and Fine Motor Control

ICRA 2026poster

Designing reliable upper-limb human-machine interfaces (HMIs) with low attentional demand requires strengthening the proprioceptive-motor pathway (PMP). We propose a closed-loop multimodal sensory training that maps three robot joint angles to six bidirectional electrotactile channels and combines v…

Cited by 0Scholar
2026

SysMoBench: Evaluating AI on Formally Specifying Complex Real-World Systems

ICLR 2026poster

Formal models are essential to specifying large, complex computer systems and verifying their correctness, but are notoriously expensive to write and maintain. Recent advances in generative AI show promise in generating certain forms of specifications. However, existing work mostly targets small cod…

Cited by 0SourcecodeScholar
2025

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy

IROS 2025

With the increasing presence of automated vehicles on open roads under driver supervision, disengagement cases are becoming more prevalent. While some data-driven planning systems attempt to directly utilize these disengagement cases for policy improvement, the inherent scarcity of disengagement dat

Cited by 3SourceScholar