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LIBERO-PeRM:/liberoperm*/ Benchmarking/benchmarking*/ Personalized/ˈpərsənəˌlaɪzd/ Robotic Manipulation/məˌnɪpjəˈleɪʃən/

Zhixu Li, Keqian Tang, Litian Gong 2026-10-15 cs.RO | cs.AI

Personalization is essential for general-purpose robots to transition into household environments and achieve true practicality. While general robotic manipulation has been extensively studied, personalized robotic manipulation (PeRM) lacks a controlled benchmark for separating task completion from ...

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Discovering/dɪˈskəvərɪŋ/ state-of-the-art/stateoftheart*/ quantum circuits/ˈsərkəts/ with large language/ˈlæŋgwɪʤ/ models

Andi Gu, Alek H. Kemeny, Susanne F. Yelin 2026-10-15 quant-ph | cs.AI

Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of efficient quantum algorithms. While for many practical problems the dominant resource costs are associated...

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T2-z: Test-Time/testtime*/ Optimization/ɑptɪmɪˈzeɪʃən/ of Environment/ɪnˈvaɪrənmənt/ Latents for Robotic World Models

Chenyuan Zhou, Yining Hong, Huang Huang 2026-10-15 cs.RO | cs.AI

Predicting how the world responds to an action requires more than what can be seen: robots must account for environmental factors that are neither directly observable nor explicitly specified, from physical properties such as friction and mass to human-defined environmental rules. We introduce T2-Z ...

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