activity
20172022
most citedDIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation

539 citations · 644 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.RO2020539 cited

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation

Mike Lambeta, Po-Wei Chou, Stephen Tian +9

Despite decades of research, general purpose in-hand manipulation remains one of the unsolved challenges of robotics. One of the contributing factors that limit current robotic man…

cs.RO2019

Morphology-Agnostic Visual Robotic Control

Brian Yang, Dinesh Jayaraman, Glen Berseth +2

Existing approaches for visuomotor robotic control typically require characterizing the robot in advance by calibrating the camera or performing system identification. We propose M…

cs.RO201921 cited

REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning

Brian Yang, Jesse Zhang, Vitchyr Pong +2

Standardized evaluation measures have aided in the progress of machine learning approaches in disciplines such as computer vision and machine translation. In this paper, we make th…

cs.RO201926 cited

Manipulation by Feel: Touch-Based Control with Deep Predictive Models

Stephen Tian, Frederik Ebert, Dinesh Jayaraman +4

Touch sensing is widely acknowledged to be important for dexterous robotic manipulation, but exploiting tactile sensing for continuous, non-prehensile manipulation is challenging.…

cs.RO2018

More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

Roberto Calandra, Andrew Owens, Dinesh Jayaraman +5

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus can…