Andreas Rene Geist

Orcid: 0000-0003-2551-2419

According to our database1, Andreas Rene Geist authored at least 19 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Novel Algorithms for Smoothly Differentiable and Efficiently Vectorizable Contact Manifold Construction.
CoRR, April, 2026

SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients.
CoRR, March, 2026

Smoothly Differentiable and Efficiently Vectorizable Contact Manifold Generation.
CoRR, February, 2026

2025
Learning Deformable Linear Object Dynamics From a Single Trajectory.
IEEE Robotics Autom. Lett., July, 2025

Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification.
CoRR, June, 2025

Hard Contacts with Soft Gradients: Refining Differentiable Simulators for Learning and Control.
CoRR, June, 2025

Learning 3D-Gaussian Simulators from RGB Videos.
CoRR, March, 2025

A Smooth Analytical Formulation of Collision Detection and Rigid Body Dynamics With Contact.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
Learning with 3D rotations, a hitchhiker's guide to SO(3).
CoRR, 2024

Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning with 3D rotations, a hitchhiker's guide to SO(3).
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Finite element inspired networks: Learning physically-plausible deformable object dynamics from partial observations.
CoRR, 2023

2022
The Wheelbot: A Jumping Reaction Wheel Unicycle.
IEEE Robotics Autom. Lett., 2022

2021
Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Structured learning of rigid-body dynamics: A survey and unified view.
CoRR, 2020

Learning Constrained Dynamics with Gauss' Principle adhering Gaussian Processes.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019
Learning Environmental Field Exploration with Computationally Constrained Underwater Robots: Gaussian Processes Meet Stochastic Optimal Control.
Sensors, 2019

2017
Embedded Spherical Localization for Micro Underwater Vehicles Based on Attenuation of Electro-Magnetic Carrier Signals.
Sensors, 2017

2016
Towards a hyperbolic acoustic one-way localization system for underwater swarm robotics.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016


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