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-This is the base Jekyll theme. You can find out more info about customizing your Jekyll theme, as well as basic Jekyll usage documentation at jekyllrb.com
- -You can find the source code for Minima at GitHub: -jekyll / -minima
- -You can find the source code for Jekyll at GitHub: -jekyll / -jekyll
- - -_posts directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run jekyll serve, which launches a web server and auto-regenerates your site when a file is updated.
-
-Jekyll requires blog post files to be named according to the following format:
- -YEAR-MONTH-DAY-title.MARKUP
Where YEAR is a four-digit number, MONTH and DAY are both two-digit numbers, and MARKUP is the file extension representing the format used in the file. After that, include the necessary front matter. Take a look at the source for this post to get an idea about how it works.
Jekyll also offers powerful support for code snippets:
- -def print_hi(name)
- puts "Hi, #{name}"
-end
-print_hi('Tom')
-#=> prints 'Hi, Tom' to STDOUT.Check out the Jekyll docs for more info on how to get the most out of Jekyll. File all bugs/feature requests at Jekyll’s GitHub repo. If you have questions, you can ask them on Jekyll Talk.
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-- Add About here. - Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Maecenas porttitor congue massa. Fusce posuere, magna sed pulvinar ultricies, purus lectus malesuada libero, sit amet commodo magna eros quis urna. Nunc viverra imperdiet enim. Fusce est. Vivamus a tellus. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Proin pharetra nonummy pede. Mauris et orci. Aenean nec lorem. In porttitor. Donec laoreet nonummy augue. Suspendisse dui purus, scelerisque at, vulputate vitae, pretium mattis, nunc. Mauris eget neque at sem venenatis eleifend. Ut nonummy. -
- -You’ll find this post in your _posts directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run jekyll serve, which launches a web server and auto-regenerates your site when a file is updated.
Jekyll requires blog post files to be named according to the following format:
- -YEAR-MONTH-DAY-title.MARKUP
Where YEAR is a four-digit number, MONTH and DAY are both two-digit numbers, and MARKUP is the file extension representing the format used in the file. After that, include the necessary front matter. Take a look at the source for this post to get an idea about how it works.
Jekyll also offers powerful support for code snippets:
- -def print_hi(name)
- puts "Hi, #{name}"
-end
-print_hi('Tom')
-#=> prints 'Hi, Tom' to STDOUT.Check out the Jekyll docs for more info on how to get the most out of Jekyll. File all bugs/feature requests at Jekyll’s GitHub repo. If you have questions, you can ask them on Jekyll Talk.
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- I'm an assistant professor in the Kahlert School of Computing and the Robotics Center at the University of Utah. I completed my postdoc at UC Berkeley in 2022 and received my Ph.D. in Computer Science from UT Austin in 2020. My research broadly focuses on human-centered AI and human-AI alignment. My goal is to develop robots and other AI systems that can safely and efficiently interact with, learn from, teach, and empower human users. My lab's research spans the areas of human-robot interaction, reward and preference learning, human-in-the-loop machine learning, and AI safety. I am interested in applications in assistive, rehab, and surgical robotics, personal AI assistants, swarm robotics, and autonomous driving.
- -
- I am a second year Ph.D. Robotics Student in the Robotics Center and Kahlert School of Computing at the University of Utah. My primary research interests are Human-Robot Interaction, Multi-Agent RLHF, and Swarm Robotics. Currently I'm researching how machine learning can help humans understand what their robots are capable of, how we can efficiently leverage human input to teach multi-robot systems how to perform tasks, and how to share control of high-DoF robots between human teleoperators and AI. After my Ph.D., I plan to continue my research in a tenure-track faculty position at a research-focused university.
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- I am a third-year Ph.D. student in Robotics at the Kahlert School of Computing, University of Utah supervised by Dr. Daniel Brown. My research centers on Human-Robot Interaction and Surgical Robotics. To be more specific I am working on developing advanced reward learning techniques and imitation learning algorithms to enhance the capabilities of autonomous systems in surgical robotics. By integrating machine learning with robotics, I aim to improve precision, safety, and efficiency in robotic-assisted surgeries. In addition to this, I am engaged in projects exploring shared control between robots and humans, aiming to enhance collaborative interactions across various domains.
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- ALorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Cras semper auctor neque vitae. In nisl nisi scelerisque eu ultrices vitae auctor eu. Nunc pulvinar sapien et ligula ullamcorper. Sociis natoque penatibus et magnis dis parturient montes. Sed lectus vestibulum mattis ullamcorper. Lorem sed risus ultricies tristique nulla aliquet enim tortor at. Scelerisque eu ultrices vitae auctor. Facilisis leo vel fringilla est ullamcorper eget nulla. Lectus nulla at volutpat diam ut venenatis tellus in metus. Ullamcorper velit sed ullamcorper morbi tincidunt ornare massa. Facilisis magna etiam tempor orci. Suscipit adipiscing bibendum est ultricies integer quis.
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- I am a first-year Ph.D. student at the University of Utah. My primary research focus is on Deep Reinforcement Learning (DRL). Specifically, I've been investigating methods to improve the sample efficiency and safety of DRL algorithms. To that end, I delve into fields such as model-based RL, offline RL, constrained RL, and also representation learning. Currently I'm interested in studying the relationship between the data distribution shift during policy learning and the plasticity loss in the policy network (inability to adapt to unseen data distributions).
- -
- Anurag Aribandi*, C. Mattson* and Daniel S. Brown
-Conference, Month, Year
- -* denotes equal contribution.
-(Recently Accepted, Links available soon)
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- Nancy N Blackburn*, M Gardone* and Daniel S Brown
-Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play (CHI PLAY), October 2023.
- -* denotes equal contribution.
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- Welcome to our research page! Our lab is focused on advancing the fields of human-centered AI and human-robot interaction, with specific emphasis on reward learning, assistive and medical robotics, safety and robustness, and multi-agent systems.
- -Reward learning is at the core of creating intelligent systems that can make decisions based on feedback. Our research in this area focuses on:
- -We are developing robotic systems that assist individuals with disabilities and improve medical care. Our work includes:
- -Ensuring the safety and robustness of robotic systems is crucial for deployment in real-world settings. Our research focuses on:
- -We explore how multiple autonomous agents can collaborate and interact to solve complex problems. Our work in this area includes:
- -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque nisl eros, pulvinar facilisis justo mollis, auctor consequat urna.
- -
-- We're a group of AI researchers working on building and studying the next generation of AI systems with a focus on human-robot interaction, human-in-the-loop reinforcement learning, and AI safety and robustness. -
--
- I'm an assistant professor in the Kahlert School of Computing and the Robotics Center at the University of Utah. I completed my postdoc at UC Berkeley in 2022 and received my Ph.D. in Computer Science from UT Austin in 2020. My research broadly focuses on human-centered AI and human-AI alignment. My goal is to develop robots and other AI systems that can safely and efficiently interact with, learn from, teach, and empower human users. My lab's research spans the areas of human-robot interaction, reward and preference learning, human-in-the-loop machine learning, and AI safety. I am interested in applications in assistive, rehab, and surgical robotics, personal AI assistants, swarm robotics, and autonomous driving.
- -
- I am a second year Ph.D. Robotics Student in the Robotics Center and Kahlert School of Computing at the University of Utah. My primary research interests are Human-Robot Interaction, Multi-Agent RLHF, and Swarm Robotics. Currently I'm researching how machine learning can help humans understand what their robots are capable of, how we can efficiently leverage human input to teach multi-robot systems how to perform tasks, and how to share control of high-DoF robots between human teleoperators and AI. After my Ph.D., I plan to continue my research in a tenure-track faculty position at a research-focused university.
- -
-
- 
- I am a third-year Ph.D. student in Robotics at the Kahlert School of Computing, University of Utah supervised by Dr. Daniel Brown. My research centers on Human-Robot Interaction and Surgical Robotics. To be more specific I am working on developing advanced reward learning techniques and imitation learning algorithms to enhance the capabilities of autonomous systems in surgical robotics. By integrating machine learning with robotics, I aim to improve precision, safety, and efficiency in robotic-assisted surgeries. In addition to this, I am engaged in projects exploring shared control between robots and humans, aiming to enhance collaborative interactions across various domains.
- -
-
- 
- I am a first-year Ph.D. student at the University of Utah. My primary research focus is on Deep Reinforcement Learning (DRL). Specifically, I've been investigating methods to improve the sample efficiency and safety of DRL algorithms. To that end, I delve into fields such as model-based RL, offline RL, constrained RL, and also representation learning. Currently I'm interested in studying the relationship between the data distribution shift during policy learning and the plasticity loss in the policy network (inability to adapt to unseen data distributions).
- -
- I am a PhD student at the University of Utah, working under the supervision of Dr. Daniel Brown. My research focuses on designing and implementing models that enable robots to self-assess their performance and operate independently of human supervision, while remaining aligned with human objectives. To achieve this, I use a variety of tools, including Reinforcement Learning (RL), Inverse Reinforcement Learning (IRL), Bayesian IRL, and learning from different types of human feedback. -In my free time, you can find me playing tennis or swimming. I also enjoy reading and discussing topics related to economics.
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- I'm an undergraduate student at the University of Utah majoring in Computer Science with a minor in Cognitive Science. My interests lie in AI Human-AI inter and AI safety. Currently, I'm working on research related to goal inference capabilities of AI agents by analyzing human behavior in dynamic environments, under the guidance of Dr. Daniel S. Brown. My long-term goal is to pursue a PhD and contribute to advancing AI in ways that are provably beneficial to citizens.
- -
- I am a High School Junior at West High School volunteering as an intern at the Kahlert School of Computing at the University of Utah. In the summer of 2024, I worked in Professor Daniel Brown’s research laboratory assisting in the construction of swarm robots for research in emergent behavior as well as the operation of a ROS control system. I am interested in both software and hardware development. I plan to pursue an undergraduate degree in EE at a research focused university before graduate school.
- -
- Connor Mattson, Varun Raveendra, Ricardo Vega, Cameron Nowzari, Daniel S Drew, Daniel S Brown
-International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), May 2025.
- -
- 
- 
- Anurag Aribandi*, C. Mattson* and Daniel S. Brown
-Conference, Month, Year
- -* denotes equal contribution.
-(Recently Accepted, Links available soon)
-
- 
- 
- 
- 
- 
- 
- Nancy N Blackburn*, M Gardone* and Daniel S Brown
-Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play (CHI PLAY), October 2023.
- -* denotes equal contribution.
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- ARIA Lab
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