activity
20162023
most citedTac2Pose: Tactile Object Pose Estimation from the First Touch

48 citations · 426 across the 46 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

cs.RO2016★ 26 cited

Feedback Control of the Pusher-Slider System: A Story of Hybrid and Underactuated Contact Dynamics

Francois Robert Hogan, Alberto Rodriguez

This paper investigates real-time control strategies for dynamical systems that involve frictional contact interactions. Hybridness and underactuation are key characteristics of th…

cs.CV2016★ 36 cited

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

Andy Zeng, Kuan-Ting Yu, Shuran Song +4

Robot warehouse automation has attracted significant interest in recent years, perhaps most visibly in the Amazon Picking Challenge (APC). A fully autonomous warehouse pick-and-pla…

cs.RO2016★ 41 cited

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

Kuan-Ting Yu, Nima Fazeli, Nikhil Chavan-Dafle +4

The Amazon Picking Challenge (APC), held alongside the International Conference on Robotics and Automation in May 2015 in Seattle, challenged roboticists from academia and industry…

cs.RO2016★ 15 cited

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

Kuan-Ting Yu, Maria Bauza, Nima Fazeli +1

Pushing is a motion primitive useful to handle objects that are too large, too heavy, or too cluttered to be grasped. It is at the core of much of robotic manipulation, in particul…

cs.RO2016★ 2 cited

Analysis and Observations from the First Amazon Picking Challenge

Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson +7

This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams. The challenge goal was to desi…