This DataVerse contains datasets generated by Texas Robotics at the University of Texas at Austin. Texas Robotics is a multi-departmental partnership that provides world-class education and pursues innovative research emphasizing long-term autonomy, robot manipulation, and human-robot interaction while leveraging UT Austin’s breadth to support a broad range of industrial applications.

Texas Robotics was formed by Peter Stone in 2017 with the goal of bringing together the roboticists in UT, who were spread amongst various departments and colleges. At the time, there were seven core faculty in Texas Robotics.

As of 2022, there are seventeen core faculty in Texas Robotics. The core faculty come from Computer Science, Mechanical Engineering, Aerospace Engineering & Engineering Mechanics, and Electrical and Computer Engineering. Forty affiliated faculty come from the four core departments, as well as from other departments on campus.

The following Labs are affiliated with Texas Robotics:

  • Human Centered Robotics Lab
  • Learning Agents Research Group
  • Nuclear Robotics Group
  • ReNeu Robotics Group
  • Personal Autonomous Robotics Lab
  • ReWire Robotics Lab
  • Socially Intelligent Research Lab
  • Advanced Robotic Technologies for Surgery Lab
  • Clinical Neuroprosthetics and Brain Interaction
  • Autonomous Mobile Robotics Laboratory
  • Robot Perception and Learning Lab
  • Control and Learning for Autonomous Robotics Lab
  • Human-Enabled Robotic Technology
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Hand and Glove Segmentation Dataset for Department of Energy Glovebox Environments
Hand and Glove Segmentation Dataset for Department of Energy Glovebox Environments
Feb 29, 2024
Sharma, Shivansh; Huang, Mathew; Nair, Sanat; Wen, Alan; Petlowany, Christina; Wanna, Selma; Pryor, Mitch, 2024, "Hand and Glove Segmentation Dataset for Department of Energy Glovebox Environments", https://doi.org/10.18738/T8/85R7KQ, Texas Data Repository, V1, UNF:6:BZYKg5wZp93zBXaXMpgeRQ== [fileUNF]
Introduction The Hand and Glove Segmentation Dataset for Department of Energy (DOE) Glovebox Environments (HAGS) is a robot allocentric perception dataset. It aims to improve safety and accuracy in human-robot collaboration (HRC), particularly in glovebox environments. The datase...
Community Embedded Robotics: Vid2Real An Online Video Dataset about Perceived Social Intelligence in Human Robot Encounters
Community Embedded Robotics: Vid2Real An Online Video Dataset about Perceived Social Intelligence in Human Robot Encounters
Feb 12, 2024
Yao-Cheng Chan; Sadanand Modak; Elliott Hauser; Joydeep Biswas; Justin Hart, 2024, "Community Embedded Robotics: Vid2Real An Online Video Dataset about Perceived Social Intelligence in Human Robot Encounters", https://doi.org/10.18738/T8/KAHJIB, Texas Data Repository, V1, UNF:6:7qUm7PdBsfeX1uz1R7HaIA== [fileUNF]
Introduction This dataset was gathered during the Vid2Real online video-based study, which investigates humans’ perception of robots' intelligence in the context of an incidental Human-Robot encounter. The dataset contains participants' questionnaire responses to four video study...
UT Campus Object Dataset (CODa)
UT Campus Object Dataset (CODa)
Jan 1, 2024
Zhang, Arthur; Eranki, Chaitanya; Zhang, Christina; Hong, Raymond; Kalyani, Pranav; Kalyanaraman, Lochana; Gamare, Arsh; Bagad, Arnav; Esteva, Maria; Biswas, Joydeep, 2023, "UT Campus Object Dataset (CODa)", https://doi.org/10.18738/T8/BBOQMV, Texas Data Repository, V2
Introduction The UT Campus Object Dataset (CODa) is a mobile robot egocentric perception dataset collected at the University of Texas at Austin campus designed for research and planning for autonomous navigation in urban environments. CODa provides benchmarks for 3D object detect...
Reproduction Data for: Models of Human Preference for Learning Reward Functions
Reproduction Data for: Models of Human Preference for Learning Reward Functions
Jun 28, 2023
W. Bradley Knox; Stephane Hatgis-Kessell; Serena Booth; Scott Niekum; Peter Stone; Alessandro Allievi, 2023, "Reproduction Data for: Models of Human Preference for Learning Reward Functions", https://doi.org/10.18738/T8/S4WTWR, Texas Data Repository, V2
Introduction This dataset consists of human preferences over different trajectories in a game that can be framed as a Markov decision process. The game is grid-based, and in it, a car must move to a goal while avoiding obstacles and minimizing costs (e.g., by minimizing gas costs...
Socially Compliant Navigation Dataset (SCAND)
Socially Compliant Navigation Dataset (SCAND)
Feb 21, 2023
Karnan, Haresh; Nair, Anirudh; Xiao, Xuesu; Warnell, Garrett; Pirk, Soeren; Toshev, Alexander; Hart, Justin; Biswas, Joydeep; Stone, Peter, 2022, "Socially Compliant Navigation Dataset (SCAND)", https://doi.org/10.18738/T8/0PRYRH, Texas Data Repository, V4
This dataset provides human-teleoperated socially compliant navigation demonstrations. Social navigation is the capability of an autonomous agent to navigate in a socially compliant manner such that it recognizes and reacts to the objectives of other navigating agents, at least s...
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