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Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and
  Trajectory Optimization for Robot Acrobatics

Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics

9 September 2021
Vince Kurtz
He Li
Patrick M. Wensing
Hai Lin
ArXivPDFHTML

Papers citing "Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics"

6 / 6 papers shown
Title
Reactive Landing Controller for Quadruped Robots
Reactive Landing Controller for Quadruped Robots
Francesco Roscia
Michele Focchi
Andrea Del Prete
D. Caldwell
Claudio Semini
33
6
0
12 May 2023
Towards Safe Landing of Falling Quadruped Robots Using a 3-DoF Morphable
  Inertial Tail
Towards Safe Landing of Falling Quadruped Robots Using a 3-DoF Morphable Inertial Tail
Yunxi Tang
Jiajun An
X. Chu
Shengzhi Wang
C. Wong
K. W. S. Au
16
15
0
30 Sep 2022
Advanced Skills by Learning Locomotion and Local Navigation End-to-End
Advanced Skills by Learning Locomotion and Local Navigation End-to-End
Nikita Rudin
David Hoeller
Marko Bjelonic
Marco Hutter
80
71
0
26 Sep 2022
Orientation Control System: Enhancing Aerial Maneuvers for Quadruped
  Robots
Orientation Control System: Enhancing Aerial Maneuvers for Quadruped Robots
Francesco Roscia
Andrea Cumerlotti
Andrea Del Prete
Claudio Semini
Michele Focchi
18
9
0
25 Aug 2022
Real-time Optimal Landing Control of the MIT Mini Cheetah
Real-time Optimal Landing Control of the MIT Mini Cheetah
Seungmin Jeon
Sangbae Kim
Donghyun Kim
43
6
0
06 Oct 2021
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,837
0
03 Feb 2017
1