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06/24/2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Physics-informed machine learning (PIML) is a set of methods and tools t...
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08/15/2022
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles
Conventional physics-based modeling is a time-consuming bottleneck in co...
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08/03/2022
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach
We develop a novel form of differentiable predictive control (DPC) with ...
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11/03/2020
Safe, Passive Control for Mechanical Systems with Application to Physical Human-Robot Interactions
In this paper, we propose a novel safe, passive, and robust control law ...
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03/23/2019
Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping
Control barrier functions have been demonstrated to be a useful method o...
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11/27/2018