5 papers
What is the Better Curriculum: Controller-Shaped Grasping Behavior for Contact Force-Sensitive Manipulation
Ziyan Feng, Zizhao Yuan, Yulong Fu +6
How should a robot learn to manipulate objects so fragile that sub-Newton contact forces can cause irreversible damage? Existing visuo-tactile policy learning typically treats tact…
TactileReflex: Noise-Statistics-Driven Vision-Tactile Reflex Control for Force-Sensitive Manipulation
Ziyan Feng, Yulong Fu, Zheng Li +6
Manipulating fragile deformable containers, such as disposable plastic cups filled with liquid, demands real-time grip-force adaptation within an extremely narrow force margin: ins…
Governable AI: Provable Safety Under Extreme Threat Models
Donglin Wang, Weiyun Liang, Chunyuan Chen +2
As AI rapidly advances, the security risks posed by AI are becoming increasingly severe, especially in critical scenarios, including those posing existential risks. If AI becomes u…
QVecOpt: An Efficient Storage and Computing Opti-mization Framework for Large-scale Quantum State Simulation
Mingyang Yu, Haorui Yang, Donglin Wang +4
In response to the challenges in large-scale quantum state simulation on classical computing platforms, including memory limits, frequent disk I/O, and high computational complexit…
Distributed Shared Layered Storage Quantum Simulator: A novel quantum simulation system for efficient scaling and cost optimization
Mingyang Yu, Haorui Yang, Donglin Wang +5
Quantum simulators are essential tools for developing and testing quantum algorithms. However, the high-frequency traversal characteristic of quantum simulators represents an unpre…