Safety-critical failures in constrained dynamical environments are often detected only after a violation occurs, while outcome metrics (e.g., success rate, time-to-failure) conflate structural inevitability with decision-induced errors. We formulate failure diagnosis as recoverability boundary discovery and define the...
Jia Liu, Jiaxin Luo, Lejun Ai et al.· Proceedings of the 32nd ACM...· 0 citations
Large language models (LLMs) have demonstrated significant potential in improving robotics applications through natural language processing capabilities. Matrix multiplication dominates the computational workload in these LLM-based robotics systems, and resistive random access memory (ReRAM) provides notable performanc...
Wen-Jing Xiao, Jianyu Wang, Dan Chen et al.· IEEE Transactions on Compute...· 0 citations
If AI is to support human cognitive growth, design must move beyond answer provision and efficiency maximization toward the organization of productive human-AI relations: relations that challenge users’ initial assumptions while providing support appropriate to the task and the user's level of expertise.
Xiaokun Wu, Min Chen, Giancarlo Fortino· Big Data and Cognitive Compu...· 0 citations
Fusing digital twins (DTs) with world models (WMs) promises a leap from reactive monitoring to proactive control. However, deploying high-fidelity WMs faces a fundamental cognitive gap: the immense computational demand of foundation models conflicts with the resource constraints of 6G edge nodes, while privacy regulati...
Yue Wang, Jixuan Xie, Yusheng Lin et al.· IEEE Transactions on Network...· 0 citations
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