Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control

7 April 2020

Papers citing "Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control"

8 / 8 papers shown

Title
Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Julia Briden Trey Gurga Breanna Johnson Abhishek Cauligi Richard Linares 33 0 0 03 Jan 2025
Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans? Yuki Shirai Tong Zhao H.J. Terry Suh Huaijiang Zhu Xinpei Ni Jiuguang Wang Max Simchowitz Tao Pang 63 3 0 10 Nov 2024
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning Joaquim Ortiz de Haro Jung-Su Ha Danny Driess E. Karpas Marc Toussaint 29 2 0 22 Oct 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation Bernardo Aceituno-Cabezas Alberto Rodriguez Shubham Tulsiani Abhinav Gupta Mustafa Mukadam 27 4 0 09 Nov 2021
Designing Multi-Stage Coupled Convex Programming with Data-Driven McCormick Envelope Relaxations for Motion Planning Xuan Lin M. Ahn Dennis W. Hong 30 6 0 14 Sep 2021
CoCo: Online Mixed-Integer Control via Supervised Learning Abhishek Cauligi Preston Culbertson Edward Schmerling Mac Schwager Bartolomeo Stellato Marco Pavone 20 41 0 16 Jul 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 54 225 0 23 Mar 2021