ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2506.17184
  4. Cited By
Judo: A User-Friendly Open-Source Package for Sampling-Based Model Predictive Control

Judo: A User-Friendly Open-Source Package for Sampling-Based Model Predictive Control

20 June 2025
Albert H. Li
Brandon Hung
Aaron D. Ames
Jiuguang Wang
Simon Le Cleac'h
Preston Culbertson
ArXiv (abs)PDFHTML

Papers citing "Judo: A User-Friendly Open-Source Package for Sampling-Based Model Predictive Control"

2 / 2 papers shown
KALIKO: Kalman-Implicit Koopman Operator Learning For Prediction of Nonlinear Dynamical Systems
KALIKO: Kalman-Implicit Koopman Operator Learning For Prediction of Nonlinear Dynamical Systems
Albert H. Li
I. D. Rodriguez
J. W. Burdick
Yisong Yue
Aaron D. Ames
36
0
0
02 Dec 2025
Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation
Generative Models From and For Sampling-Based MPC: A Bootstrapped Approach For Adaptive Contact-Rich Manipulation
Lara Brudermüller
Brandon Hung
Xinghao Zhu
Jiuguang Wang
Nick Hawes
Preston Culbertson
Simon Le Cleac'h
117
0
0
16 Oct 2025
1