LL4MA lab https://robot-learning.cs.utah.edu/ 2026-04-15T17:04:04+00:00 LL4MA lab https://robot-learning.cs.utah.edu/ https://robot-learning.cs.utah.edu/_media/wiki/logo.png text/html 2024-08-14T17:56:02+00:00 Anonymous (anonymous@undisclosed.example.com) datasets https://robot-learning.cs.utah.edu/datasets?rev=1723658162&do=diff We have begun hosting are data sets on our hugging face space! Datasets Dataset Description Notes In-Grasp Data Dataset from our RSS 2017 paper on in-grasp manipuation Further details Grasp Inference Dataset Data from our work "Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network" Visual saliency in RGB-D images Dataset for our BMVC 2013 Paper on computing visual saliency Work done at Georgia Tech text/html 2023-10-24T20:38:49+00:00 Anonymous (anonymous@undisclosed.example.com) grasp_pipeline https://robot-learning.cs.utah.edu/grasp_pipeline?rev=1698179929&do=diff Grasping Pipeline Grasping System Framework <html><center><h2></html> Overview <html></h2></center></html> Installation Guide [Startup Manual] <html><iframe src=“<https://docs.google.com/document/d/e/2PACX-1vTt4ILUHkSMwm0dkAcYlFxc8Xb0sivj_TQihZkUc5kKwFwTJW1vc7R28bxwRFenSQHLQ5xwQhOWI6nT/pub?embedded=true>” width=900 height=1000></iframe></html> Feedback for Improvement Comments about how to improve the designing, text/html 2026-01-31T17:08:45+00:00 Anonymous (anonymous@undisclosed.example.com) home https://robot-learning.cs.utah.edu/home?rev=1769879325&do=diff Utah Learning Lab for Manipulation Autonomy Welcome to the Utah Learning Lab for Manipulation Autonomy--the LL4MA Lab--directed by professor Tucker Hermans. We are part of the Kahlert School of Computing, University of Utah Robotics Center, and the Utah Center for Data Science at the University of Utah. Our research focuses on autonomous learning, planning, and perception for robot manipulation. We are particularly interested in enabling robots to autonomously discover and manipulate objects w… text/html 2023-10-24T20:38:49+00:00 Anonymous (anonymous@undisclosed.example.com) kl_planning https://robot-learning.cs.utah.edu/kl_planning?rev=1698179929&do=diff Planning under Uncertainty to Goal Distributions This page hosts material associated with our paper Planning under Uncertainty to Goal Distributions, currently under review. * Paper Preprint * [ Supplemental Material] - Derivations of our cost function reductions to common planning costs, and extended details on the environments used in the experiments. text/html 2023-10-24T20:38:50+00:00 Anonymous (anonymous@undisclosed.example.com) ll4ma_software https://robot-learning.cs.utah.edu/ll4ma_software?rev=1698179930&do=diff Software All of our software is hosted on our bitbucket page, including code from our published papers, any infrastructure code needed to interact with the robots we use in our lab, and much more. Here we provide high-level descriptions of our packages and links to wiki pages that offer more details on each package. text/html 2023-10-24T20:38:50+00:00 Anonymous (anonymous@undisclosed.example.com) news_archive https://robot-learning.cs.utah.edu/news_archive?rev=1698179930&do=diff ll4ma Lab News Archive 2020 * December 18, 2020: Paper Published in IJRR: “A Model Predictive Approach for Online Mobile Manipulation of Nonholonomic Objects using Learned Dynamics”; Roya Sabbagh Novin, Amir Yazdani, Andrew Merryweather and Tucker Hermans. text/html 2023-10-24T20:38:50+00:00 Anonymous (anonymous@undisclosed.example.com) outreach https://robot-learning.cs.utah.edu/outreach?rev=1698179930&do=diff Education and Outreach Science Movie Night: AlphaGo Professor Hermans presented a talk following a screening of AlphaGo at the Salt Lake City Public library in April 2018. Details available at the Natural History Museum of Utah website. Skeleton Crew First Tech Challenge Team Professor Hermans met with members of the Skeleton Crew first tech challenge team to discuss touch-based sensing for use in their 2017-2018 competition. text/html 2026-03-02T18:56:31+00:00 Anonymous (anonymous@undisclosed.example.com) people https://robot-learning.cs.utah.edu/people?rev=1772477791&do=diff People Faculty Tucker Hermans Associate Professor, Kahlert School of Computing Adjunct Associate Professor, Department of Mechanical Engineering Senior Research Scientist, NVIDIA Postdocs Martin Matak PhD in Computer Science, University of Utah 2024 Current Students text/html 2023-10-24T20:38:50+00:00 Anonymous (anonymous@undisclosed.example.com) projects https://robot-learning.cs.utah.edu/projects?rev=1698179930&do=diff Research Projects In-Hand Manipulation We investigate the problem of a robot autonomously moving an object relative to its hand. This project focuses on multi-fingered, in-hand manipulation of novel objects. Objects from the YCB dataset are used with the Allegro robotic hand to verify approaches. Benchmarking schemes are also introduced to compare with other methods. text/html 2025-11-04T18:05:51+00:00 Anonymous (anonymous@undisclosed.example.com) prospectivestudents https://robot-learning.cs.utah.edu/prospectivestudents?rev=1762279551&do=diff Research Opportunities in Robot Manipulation If you are currently an undergraduate or graduate student at the University of Utah interested in conducting research with me, then please read the rest of this page and contact me! We conduct research on improving and enhancing robot manipulation in unstructured environments like your home or offices in the School of Computing. Much of our work focuses on how robots can learn to manipulate objects they have never seen before or otherwise have incomp… text/html 2025-07-09T15:54:08+00:00 Anonymous (anonymous@undisclosed.example.com) publications https://robot-learning.cs.utah.edu/publications?rev=1752076448&do=diff Publications arXiv preprints | BibTex text/html 2025-01-09T18:18:52+00:00 Anonymous (anonymous@undisclosed.example.com) reading_group https://robot-learning.cs.utah.edu/reading_group?rev=1736446732&do=diff Reading group We want to cover interesting papers with a focus on those recently published. Everyone is expected to read the papers on their own, so that the meeting can focus on discussion of the paper's merits, issues, and possible extensions. While we'll have a nominal queue of papers to follow, we should be open to changing what we read and discuss the following week, based on our discussion of the current paper. text/html 2023-10-24T17:19:44+00:00 Anonymous (anonymous@undisclosed.example.com) sidebar https://robot-learning.cs.utah.edu/sidebar?rev=1698167984&do=diff * Home * Publications * People * Software * Data * Outreach * Teaching * Reading Group * Wiki (private) text/html 2025-11-13T22:10:47+00:00 Anonymous (anonymous@undisclosed.example.com) teaching https://robot-learning.cs.utah.edu/teaching?rev=1763071847&do=diff Teaching Prospective TAs If you are a current Utah student interested in being a TA for one of my courses, you should not contact me directly. Instead please apply via the TA pool. Fall 2025 * CS 4963 - Algorithmic Foundations of Robotics Spring 2025 * CS 6956 - Probabilistic Deep Learning text/html 2025-09-12T16:17:42+00:00 Anonymous (anonymous@undisclosed.example.com) thermans https://robot-learning.cs.utah.edu/thermans?rev=1757693862&do=diff Tucker Hermans Kahlert School of ComputingUniversity of Utah NVIDIA Department of Mechanical Engineering Utah Robotics Center Utah Center for Data Science ---------- Contact Email: tucker.hermans@utah.edu Bluesky: thermans.bsky.social Office: MEB 2164 (Map) About Me [ [Curriculum Vitae] ] I'm an associate professor in the Kahlert School of Computing at the University of Utahand direct the Utah Learning Lab for Manipulation Autonomy. I am also a core member of the University of Utah R… text/html 2024-01-26T08:35:06+00:00 Anonymous (anonymous@undisclosed.example.com) yixuanh https://robot-learning.cs.utah.edu/yixuanh?rev=1706258106&do=diff Yixuan Huang ---------- Contact Email: yixuan.huang@utah.edu Office: Room 2160, Merrill Engineering, 50 Central Campus Dr, Salt Lake City, UT 84112 (Map) About Me This page is not updated. Please visit my new website for recent updates. [ [Curriculum Vitae] ] Hi there, I'm Yixuan Huang!