Mathieu Geisert

Mathieu Geisert

University of Oxford

H-index: 9

Europe-United Kingdom

About Mathieu Geisert

Mathieu Geisert, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Motion Planning and Control, Optimization, Machine Learning, Legged Robots.

His recent articles reflect a diverse array of research interests and contributions to the field:

VAE-Loco: Versatile quadruped locomotion by learning a disentangled gait representation

Next steps: Learning a disentangled gait representation for versatile quadruped locomotion

Rloc: Terrain-aware legged locomotion using reinforcement learning and optimal control

Rapid stability margin estimation for contact-rich locomotion

Receding-horizon perceptive trajectory optimization for dynamic legged locomotion with learned initialization

Real-time trajectory adaptation for quadrupedal locomotion using deep reinforcement learning

Learning an expert skill-space for replanning dynamic quadruped locomotion over obstacles

Reliable trajectories for dynamic quadrupeds using analytical costs and learned initializations

Mathieu Geisert Information

University

Position

Postdoc at

Citations(all)

428

Citations(since 2020)

390

Cited By

142

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Mathieu Geisert Skills & Research Interests

Motion Planning and Control

Optimization

Machine Learning

Legged Robots

Top articles of Mathieu Geisert

Title

Journal

Author(s)

Publication Date

VAE-Loco: Versatile quadruped locomotion by learning a disentangled gait representation

arXiv preprint arXiv:2205.01179

Alexander L Mitchell

Wolfgang Merkt

Mathieu Geisert

Siddhant Gangapurwala

Martin Engelcke

...

2022/5/2

Next steps: Learning a disentangled gait representation for versatile quadruped locomotion

arXiv preprint arXiv:2112.04809

Alexander L Mitchell

Wolfgang Merkt

Mathieu Geisert

Siddhant Gangapurwala

Martin Engelcke

...

2021/12/9

Rloc: Terrain-aware legged locomotion using reinforcement learning and optimal control

IEEE Transactions on Robotics

Siddhant Gangapurwala

Mathieu Geisert

Romeo Orsolino

Maurice Fallon

Ioannis Havoutis

2022/5/20

Rapid stability margin estimation for contact-rich locomotion

Romeo Orsolino

Siddhant Gangapurwala

Oliwier Melon

Mathieu Geisert

Ioannis Havoutis

...

2021/9/27

Receding-horizon perceptive trajectory optimization for dynamic legged locomotion with learned initialization

Oliwier Melon

Romeo Orsolino

David Surovik

Mathieu Geisert

Ioannis Havoutis

...

2021/5/30

Real-time trajectory adaptation for quadrupedal locomotion using deep reinforcement learning

Siddhant Gangapurwala

Mathieu Geisert

Romeo Orsolino

Maurice Fallon

Ioannis Havoutis

2021/5/30

Learning an expert skill-space for replanning dynamic quadruped locomotion over obstacles

David Surovik

Oliwier Melon

Mathieu Geisert

Maurice Fallon

Ioannis Havoutis

2021/10/4

Reliable trajectories for dynamic quadrupeds using analytical costs and learned initializations

Oliwier Melon

Mathieu Geisert

David Surovik

Ioannis Havoutis

Maurice Fallon

2020/5/31

See List of Professors in Mathieu Geisert University(University of Oxford)