A Dataset of Robot Bite Acquisition Trials on Solid Food Using Different Manipulation Strategies
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive InfoField | Value | |
Title |
A Dataset of Robot Bite Acquisition Trials on Solid Food Using Different Manipulation Strategies
|
|
Identifier |
https://doi.org/10.7910/DVN/8A1XO3
|
|
Creator |
Feng, Ryan
Kim, Youngsun Lee, Gilwoo Gordon, Ethan Kroll Schmittle, Matt Kumar, Shivaum Bhattacharjee, Tapomayukh Srinivasa, Siddhartha S |
|
Publisher |
Harvard Dataverse
|
|
Description |
A dataset of attempts by the Autonomous Dextrous Arm (ADA), a JACO 2 arm equipped with an eye-in-hand camera and a force-torque sensor, to skewer one of 16-types of food given one of 6 manipulation strategies (3 pitch angles X 2 roll angles). Each attempt contains RGB and Depth images, camera distortion parameters, and text describing the attempt as a "fail" or "success".
|
|
Subject |
Computer and Information Science
Engineering Bite Acquisition, Food Manipulation |
|
Contributor |
Gordon, Ethan Kroll
|
|