Results 251 to 260 of about 5,241,858 (338)
Mathematical Residual Operator
The concept of a residual has long been used in applied mathematics and signal processing to quantify the portion of a signal or function that cannot be captured by a given model or set of operations. In this work we elevate the residual from a scalar quantity to a genuine linear operator acting on a function space. We define a residual operator R that
openaire +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Fractional-order analysis and optimal control of the NERA model: stability, sensitivity, and numerical validation. [PDF]
Pandey A, Ghosh S.
europepmc +1 more source
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay +9 more
wiley +1 more source
Non-commutative structures of brain and cognition: quantum and contextual probability as a translational framework. [PDF]
Emori H, Khrennikov A, Iriki A.
europepmc +1 more source
Mathematical Universality Operator
The concept of a universal structure extractor is introduced as a mathematical operator U that captures the intrinsic structural essence of an object X in a way that is invariant under isomorphism and compatible with a broad class of mathematical operations F. Formally, the operator U satisfies U(F(X)) = F(U(X)) for all admissible operations F.
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DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Separation of Time Scales in Weakly Interacting Diffusions. [PDF]
Adams ZP, Engel M, Gvalani RS.
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Hallucination risk and trustworthiness of generative AI systems based on IVMPF-MABAC decision-making strategies. [PDF]
Hsiao B +5 more
europepmc +1 more source

