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CusADi: A GPU Parallelization Framework for Symbolic Expressions and
  Optimal Control

CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal Control

IEEE Robotics and Automation Letters (RA-L), 2024
19 August 2024
Se Hwan Jeon
Seungwoo Hong
Ho Jae Lee
Charles Khazoom
Sangbae Kim
ArXiv (abs)PDFHTML

Papers citing "CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal Control"

5 / 5 papers shown
Title
Differentiable Model Predictive Control on the GPU
Differentiable Model Predictive Control on the GPU
Emre Adabag
Marcus Greiff
John Subosits
Thomas Lew
90
0
0
07 Oct 2025
RL-augmented Adaptive Model Predictive Control for Bipedal Locomotion over Challenging Terrain
RL-augmented Adaptive Model Predictive Control for Bipedal Locomotion over Challenging Terrain
Junnosuke Kamohara
Feiyang Wu
Chinmayee Wamorkar
Seth Hutchinson
Ye Zhao
124
1
0
22 Sep 2025
Parallel-Constraint Model Predictive Control: Exploiting Parallel Computation for Improving Safety
Parallel-Constraint Model Predictive Control: Exploiting Parallel Computation for Improving SafetyIEEE International Conference on Robotics and Automation (ICRA), 2025
Elias Fontanari
Gianni Lunardi
Matteo Saveriano
Andrea Del Prete
72
1
0
03 Sep 2025
Primal-Dual iLQR for GPU-Accelerated Learning and Control in Legged Robots
Primal-Dual iLQR for GPU-Accelerated Learning and Control in Legged RobotsIEEE Robotics and Automation Letters (IEEE RA-L), 2025
Lorenzo Amatucci
João Sousa Pinto
Giulio Turrisi
Dominique Orban
Victor Barasuol
Claudio Semini
140
3
0
09 Jun 2025
pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning
pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning
Chih H. Huang
Pranav Jadhav
Brian Plancher
Zachary Kingston
174
4
0
09 Mar 2025
1