Mike Yan Michelis

According to our database, Mike Yan Michelis authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sim-to-Real of Soft Robots with Learned Residual Physics.

Junpeng Gao, Mike Yan Michelis, Andrew Spielberg, Robert K. Katzschmann

CoRR, 2024

2023

An Overview of Soft Robotics.

Oncay Yasa, Yasunori Toshimitsu, Mike Yan Michelis, Lewis S. Jones, Miriam Filippi, Thomas Buchner, Robert K. Katzschmann

Annu. Rev. Control. Robotics Auton. Syst., May, 2023

Low Voltage Electrohydraulic Actuators for Untethered Robotics.

Stephan-Daniel Gravert, Elia Varini, Amirhossein Kazemipour, Mike Yan Michelis, Thomas Buchner, Ronan Hinchet, Robert K. Katzschmann

CoRR, 2023

Vandermonde Neural Operators.

Levi E. Lingsch, Mike Yan Michelis, Sirani M. Perera, Robert K. Katzschmann, Siddartha Mishra

CoRR, 2023

Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications.

Jeong Hun Lee, Mike Yan Michelis, Robert K. Katzschmann, Zachary Manchester

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Sim-to-Real for Soft Robots Using Differentiable FEM: Recipes for Meshing, Damping, and Actuation.

Mathieu Dubied, Mike Yan Michelis, Andrew Spielberg, Robert Kevin Katzschmann

IEEE Robotics Autom. Lett., 2022

Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes.

Mike Yan Michelis, Robert K. Katzschmann

CoRR, 2022

Sim-to-Real for Projective Dynamics on Soft Robots via Differentiability: Meshing, Damping, and Actuation.

Mathieu Dubied, Mike Yan Michelis, Andrew Spielberg, Robert K. Katzschmann

CoRR, 2022

Planar Modeling and Sim-to-Real of a Tethered Multimaterial Soft Swimmer Driven by Peano-HASELs.

Stephan-Daniel Gravert, Mike Yan Michelis, Simon Rogler, Dario Tscholl, Thomas Buchner, Robert K. Katzschmann

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models.

Elvis Nava, John Z. Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert Kevin Katzschmann

Proceedings of the International Conference on Machine Learning, 2022

2021

On Linear Interpolation in the Latent Space of Deep Generative Models.

Mike Yan Michelis, Quentin Becker

CoRR, 2021

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.

Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius

Proceedings of the NeurIPS 2022 Competition Track, 2021