ArXiv TLDR

Cheng Wang

3 papers · Latest:

Robotics

Learning Responsibility-Attributed Adversarial Scenarios for Testing Autonomous Vehicles

CARS generates responsibility-attributed adversarial scenarios for autonomous vehicles, distinguishing system failures from unavoidable traffic conflicts for better safety assurance.

2605.13751
Artificial Intelligence

Position: Embodied AI Requires a Privacy-Utility Trade-off

Embodied AI systems face a systemic privacy crisis; this paper argues for privacy as a lifecycle architectural constraint, proposing the SPINE framework.

2605.05017
Computer Vision

NeuroClaw Technical Report

NeuroClaw is a multi-agent AI system designed to make neuroimaging research more executable and reproducible by handling diverse data and complex pipelines.

2604.24696

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