most citedBenchmarking Robot Manipulation with the Rubik's Cube

20 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2022

Hierarchical Control Strategy for Moving A Robot Manipulator Between Small Containers

Paolo Torrado, Boling Yang, Joshua Smith

In this paper, we study the implementation of a model predictive controller (MPC) for the task of object manipulation in a highly uncertain environment (e.g., picking objects from…

cs.RO2022

Improved Object Pose Estimation via Deep Pre-touch Sensing

Patrick Lancaster, Boling Yang, Joshua R. Smith

For certain manipulation tasks, object pose estimation from head-mounted cameras may not be sufficiently accurate. This is at least in part due to our inability to perfectly calibr…

cs.RO202220 cited

Benchmarking Robot Manipulation with the Rubik's Cube

Boling Yang, Patrick E. Lancaster, Siddhartha S. Srinivasa +1

Benchmarks for robot manipulation are crucial to measuring progress in the field, yet there are few benchmarks that demonstrate critical manipulation skills, possess standardized m…

cs.RO20222 cited

Motivating Physical Activity via Competitive Human-Robot Interaction

Boling Yang, Golnaz Habibi, Patrick E. Lancaster +2

This project aims to motivate research in competitive human-robot interaction by creating a robot competitor that can challenge human users in certain scenarios such as physical ex…

cs.RO20203 cited

Contact-less manipulation of millimeter-scale objects via ultrasonic levitation

Jared Nakahara, Boling Yang, Joshua R. Smith

Although general purpose robotic manipulators are becoming more capable at manipulating various objects, their ability to manipulate millimeter-scale objects are usually very limit…