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Tactile SLAM: Real-time inference of shape and pose from planar pushing


Nov 13, 2020
Sudharshan Suresh, Maria Bauza, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess

* Under review as submission to the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021). For associated video file, see https://youtu.be/wdyagx5MM40 

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Realtime State Estimation with Tactile and Visual sensing. Application to Planar Manipulation


May 15, 2018
Kuan-Ting Yu, Alberto Rodriguez


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Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching


Apr 01, 2018
Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois R. Hogan, Maria Bauza, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian Taylor, Weber Liu, Thomas Funkhouser, Alberto Rodriguez

* To appear at the International Conference on Robotics and Automation (ICRA) 2018. Project webpage: http://arc.cs.princeton.edu Summary video: https://youtu.be/6fG7zwGfIkI 

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Realtime State Estimation with Tactile and Visual Sensing for Inserting a Suction-held Object


Mar 21, 2018
Kuan-Ting Yu, Alberto Rodriguez

* 8 pages, 10 figures, submitted to IROS 2018 

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Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge


May 07, 2017
Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao

* To appear at the International Conference on Robotics and Automation (ICRA) 2017. Project webpage: http://apc.cs.princeton.edu/ 

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More than a Million Ways to Be Pushed: A High-Fidelity Experimental Dataset of Planar Pushing


Aug 04, 2016
Kuan-Ting Yu, Maria Bauza, Nima Fazeli, Alberto Rodriguez

* IROS 2016 
* 8 pages, 10 figures 

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A Summary of Team MIT's Approach to the Amazon Picking Challenge 2015


Apr 13, 2016
Kuan-Ting Yu, Nima Fazeli, Nikhil Chavan-Dafle, Orion Taylor, Elliott Donlon, Guillermo Diaz Lankenau, Alberto Rodriguez

* 8 pages, 8 figures 

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