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This content will become publicly available on January 1, 2026

Title: Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy
Award ID(s):
2006886 2047169
PAR ID:
10564845
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
IEEE
Date Published:
Journal Name:
IEEE Transactions on Robotics
ISSN:
1552-3098
Page Range / eLocation ID:
1 to 20
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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    This paper presents a multirotor control architecture, where Model Predictive Path Integral Control (MPPI) and ℒ 1 adaptive control are combined to achieve both fast model predictive trajectory planning and robust trajectory tracking. MPPI provides a framework to solve nonlinear MPC with complex cost functions in real-time. However, it often lacks robustness, especially when the simulated dynamics are different from the true dynamics. We show that the ℒ 1 adaptive controller robustifies the architecture, allowing the overall system to behave similar to the nominal system simulated with MPPI. The architecture is validated in a simulated multirotor racing environment. 
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