4 papers
TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
Cheng Xin, Fan Xu, Xin Ding +2
Graph Neural Networks (GNNs) have shown remarkable success across various scientific fields, yet their adoption in critical decision-making is often hindered by a lack of interpret…
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…
CLAP: Clustering to Localize Across n Possibilities, A Simple, Robust Geometric Approach in the Presence of Symmetries
Gabriel I. Fernandez, Ruochen Hou, Alex Xu +2
In this paper, we present our localization method called CLAP, Clustering to Localize Across Possibilities, which helped us win the RoboCup 2024 adult-sized autonomous humanoid…
Learning to Walk in Costume: Adversarial Motion Priors for Aesthetically Constrained Humanoids
Arturo Flores Alvarez, Fatemeh Zargarbashi, Havel Liu +7
We present a Reinforcement Learning (RL)-based locomotion system for Cosmo, a custom-built humanoid robot designed for entertainment applications. Unlike traditional humanoids, ent…