1 citations · 1 across the 4 of their papers we have counts for
5 papers
A Generalization of CLAP from 3D Localization to Image Processing, A Connection With RANSAC & Hough Transforms
Ruochen Hou, Gabriel I. Fernandez, Alex Xu +1
In previous work, we introduced a 2D localization algorithm called CLAP, Clustering to Localize Across Possibilities, which was used during our championship win in RoboCup 2024…
Model Predictive Control with Visibility Graphs for Humanoid Path Planning and Tracking Against Adversarial Opponents
Ruochen Hou, Gabriel I. Fernandez, Mingzhang Zhu +1
In this paper we detail the methods used for obstacle avoidance, path planning, and trajectory tracking that helped us win the adult-sized, autonomous humanoid soccer league in Rob…
Fast and Robust Localization for Humanoid Soccer Robot via Iterative Landmark Matching
Ruochen Hou, Mingzhang Zhu, Hyunwoo Nam +2
Accurate robot localization is essential for effective operation. Monte Carlo Localization (MCL) is commonly used with known maps but is computationally expensive due to landmark m…
ReDUCE: Reformulation of Mixed Integer Programs using Data from Unsupervised Clusters for Learning Efficient Strategies
Xuan Lin, Gabriel I. Fernandez, Dennis W. Hong
Mixed integer convex and nonlinear programs, MICP and MINLP, are expressive but require long solving times. Recent work that combines learning methods on solver heuristics has show…
Deep Reinforcement Learning with Linear Quadratic Regulator Regions
Gabriel I. Fernandez, Colin Togashi, Dennis W. Hong +1
Practitioners often rely on compute-intensive domain randomization to ensure reinforcement learning policies trained in simulation can robustly transfer to the real world. Due to u…