5 papers
ROI-Driven Foveated Attention for Unified Egocentric Representations in Vision-Language-Action Systems
Xinhai Sun, Xiang Shi, Menglin Zou +1
The development of embodied AI systems is increasingly constrained by the availability and structure of physical interaction data. Despite recent advances in vision-language-action…
Beyond-Ten-Hour Coherence in a Decoherence-Free Trapped-Ion Clock Qubit
Jiahao Pi, Xiangjia Liu, Junle Cao +8
Quantum systems promise to revolutionize information processing science and technology [1-3]. The preservation of quantum coherence, the defining property of qubits, fundamentally…
SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-Action
Xiang Shi, Wenlong Huang, Menglin Zou +1
We revisit Vision-Language-Action through a neuroscience-inspired triad. Biologically, the Cerebrum provides stable high-level multimodal priors and remains frozen; the Pons Adapte…
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen, Menglin Zou, Jiaqi Zhang +6
Inverse Reinforcement Learning (IRL) learns a reward function to explain expert demonstrations. Modern IRL methods often use the adversarial (minimax) formulation that alternates b…
Precision Polarization Tuning for Light Shift Mitigation in Trapped-Ion Qubits
Hengchao Tu, Chun-Yang Luan, Menglin Zou +3
Trapped-ion qubits are among the most promising candidates for quantum computing, quantum information processing, and quantum simulation. In general, trapped ions are considered to…