J. Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control	2024	Rui Valadas Maximilian Stölzle J. Liu Cosimo Della Santina
+ PDF Chat	Physics‐Informed Neural Networks to Model and Control Robots: A Theoretical and Experimental Investigation	2024	J. Liu Pablo Borja Cosimo Della Santina
+	Physics-informed Neural Networks to Model and Control Robots: a Theoretical and Experimental Investigation	2023	J. Liu Pablo Borja Cosimo Della Santina

Common Coauthors

Coauthor	Papers Together
Cosimo Della Santina	3
Rui Valadas	1
Pablo Borja	1
Maximilian Stölzle	1
Pablo Borja	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The limits and potentials of deep learning for robotics	2018	Niko Sünderhauf Oliver Brock Walter J. Scheirer Raia Hadsell Dieter Fox Jürgen Leitner Ben Upcroft Pieter Abbeel Wolfram Burgard Michael Milford	1
+ PDF Chat	Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems	2019	Michael Lutter Kim D. Listmann Jan Peters	1
+ PDF Chat	Cautious Model Predictive Control Using Gaussian Process Regression	2019	Lukas Hewing Juraj Kabzan Melanie N. Zeilinger	1
+ PDF Chat	Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture	2021	Sina Amini Niaki Ehsan Haghighat Trevor Campbell Anoush Poursartip Reza Vaziri	1
+ PDF Chat	Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey	2020	Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund	1
+	Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics	2020	Manuel A. Roehrl Thomas A. Runkler Veronika Brandtstetter Michel Tokic Stefan Obermayer	1
+	Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators	2022	Jonas Nicodemus Jonas Kneifl Jörg Fehr Benjamin Unger	1
+ PDF Chat	Combining physics and deep learning to learn continuous-time dynamics models	2023	Michael Lutter Jan Peters	1
+ PDF Chat	Model-Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges	2023	Cosimo Della Santina Christian Duriez Daniela Rus	1
+ PDF Chat	Optimal control of PDEs using physics-informed neural networks	2022	Saviz Mowlavi Saleh Nabi	1
+	Learning the dynamics of particle-based systems with Lagrangian graph neural networks	2023	Ravinder Bhattoo Sayan Ranu N. M. Anoop Krishnan	1
+ PDF Chat	RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network	2023	S. K. Sanyal Kaushik Roy	1