no code implementations • 15 Apr 2024 • Isaac A. Spiegel, Nard Strijbosch, Robin de Rozario, Tom Oomen, Kira Barton
To demonstrate the primary contributions' validity and utility, this article also integrates PWA stable inversion with ILC in simulations based on a physical printhead positioning system.
no code implementations • 24 Oct 2023 • Joey Wilson, Yuewei Fu, Joshua Friesen, Parker Ewen, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
In this paper, we develop a modular neural network for real-time semantic mapping in uncertain environments, which explicitly updates per-voxel probabilistic distributions within a neural network layer.
no code implementations • 20 Mar 2023 • Ilya Kovalenko, Kira Barton, James Moyne, Dawn M. Tilbury
Three overarching themes emerged from the panel discussion.
2 code implementations • 21 Sep 2022 • Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
Robotic perception is currently at a cross-roads between modern methods, which operate in an efficient latent space, and classical methods, which are mathematically founded and provide interpretable, trustworthy results.
1 code implementation • 14 Mar 2022 • Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes.
no code implementations • 8 Dec 2021 • Hao Wang, Yassine Qamsane, James Moyne, Kira Barton
In this work, we address point detection and time series classification for machine-part interactions with a deep Convolutional Neural Network (CNN) based framework.
no code implementations • 19 Nov 2021 • Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros
In this work, we develop an iterative approach for repetitive precision motion control problems where the objective is to follow a reference geometry with minimal tracking error.
no code implementations • 16 Aug 2021 • Maxwell Wu, Mitchell Cobb, James Reed, Kirti Mishra, Chris Vermillion, Kira Barton
This paper presents an iterative learning control (ILC) scheme for continuously operated repetitive systems for which no initial condition reset exists.
no code implementations • 16 Aug 2021 • Isaac A Spiegel, Nard Strijbosch, Tom Oomen, Kira Barton
Specifically, this article facilitates ILC of such systems by presenting a new ILC synthesis framework that allows combination of the principles of Newton's root finding algorithm with stable inversion, a technique for generating stable trajectories from unstable models.
2 code implementations • 6 Aug 2021 • Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model.