Study Type: experimental
Author Name: Kuchenbecker, Katherine J.
Author Organization: Max Planck Institute for Intelligent Systems
Subject: Computer Science, Systems and Electrical Engineering
1 to 4 of 4 Results
May 6, 2024
Mohan, Mayumi; Nunez, Cara M.; Kuchenbecker, Katherine J., 2024, "Data for “Closing the Loop in Minimally Supervised Human-Robot Interaction: Formative and Summative Feedback"", https://doi.org/10.17617/3.UPWT1Q, Edmond, V1
This Excel file provides the data required to perform the statistical analyses presented in the manuscript: "Closing the Loop in Minimally Supervised Human-Robot Interaction: Formative and Summative Feedback". Each of the nine included sheets contains a different subset of the co... |
Jan 17, 2024
Khojasteh, Behnam; Shao, Yitian; Kuchenbecker, Katherine J., 2024, "MPI-10: Haptic-Auditory Measurements from Tool-Surface Interactions", https://doi.org/10.17617/3.PM8R94, Edmond, V1
This dataset consists of haptic-auditory recordings as a human explores 10 surfaces with 3 steel tools, including accelerations of the tool and finger, force and torque applied to the surface, and contact sounds. |
Nov 5, 2023
Gong, Yijie; Javot, Bernard; Lauer, Anja Patricia Regina; Sawodny, Oliver; Kuchenbecker, Katherine J., 2023, "User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception", https://doi.org/10.17617/3.PAFGCA, Edmond, V1
We encourage viewers to select the "Tree" view, rather than "Table" view, in order to see the files organized by their respective folders. The dataset includes the following: 1. A readme file explaining our user study and the data, 2. Raw acceleration data, 3. Raw robot data, 4.... |
Mar 27, 2023
Richardson, Ben; McMahon, Ian; Chu, Vivian; Martinez Perez-Tejado, Jorge; Arrigo, Michael; Kuchenbecker, Katherine J., 2023, "Penn Haptic Adjective Corpus 2", https://doi.org/10.17617/3.0C79KW, Edmond, V1
Haptic exploratory data of 60 diverse objects, systematically acquired object images, and data parsing code. The file 'phac_train_test_pos_neg_90_10_1_20.h5' contains the raw robot sensor data and binary adjective labels (25 total adjectives). Use processPHAC2.m to parse this h5... |