Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems

Mar 27, 2026·

Devin Hunter

,

Chinwendu Enyioha

· 1 min read

Type

Conference paper

Publication

International Conference on Robotics, Control and Automation (ICRCA)

Hunter, D., & Enyioha, C. (2026). Real-time performance analysis of multi-fidelity residual physics-informed neural process-based state estimation for robotic systems. International Conference on Robotics, Control and Automation (ICRCA).

Accepted at ICRCA 2026.

Last updated on Mar 27, 2026

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