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20232026
most citedDiffTune-MPC: Closed-Loop Learning for Model Predictive Control

17 citations · 23 across the 10 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.RO2024

Task-Parameter Nexus: Task-Specific Parameter Learning for Model-Based Control

Sheng Cheng, Ran Tao, Yuliang Gu +3

This paper presents the Task-Parameter Nexus (TPN), a learning-based approach for online determination of the (near-)optimal control parameters of model-based controllers (MBCs) fo…

cs.RO2024★ 1 cited

Autotuning Bipedal Locomotion MPC with GRFM-Net for Efficient Sim-to-Real Transfer

Qianzhong Chen, Junheng Li, Sheng Cheng +2

Bipedal locomotion control is essential for humanoid robots to navigate complex, human-centric environments. While optimization-based control designs are popular for integrating so…

eess.SY2024

Real-Time Linear MPC for Quadrotors on SE(3): An Analytical Koopman-based Realization

Santosh M. Rajkumar, Chengyu Yang, Yuliang Gu +3

This letter presents an analytical linear parameter-varying (LPV) representation of quadrotor dynamics utilizing Koopman theory, facilitating computationally efficient linear model…

cs.RO2024

An Optimization-Based Planner with B-spline Parameterized Continuous-Time Reference Signals

Chuyuan Tao, Sheng Cheng, Yang Zhao +2

For the cascaded planning and control modules implemented for robot navigation, the frequency gap between the planner and controller has received limited attention. In this study,…

cs.RO2024★ 1 cited

Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds

Yuliang Gu, Sheng Cheng, Naira Hovakimyan

Quadrotors are increasingly used in the evolving field of aerial robotics for their agility and mechanical simplicity. However, inherent uncertainties, such as aerodynamic effects…