Jiaji (Robin) Zhou's webpage

Jiaji (Robin) Zhou
The Robotics Institute
School of Computer Science
Carnegie Mellon University
Email: jiajiz [at] cs [dot] cmu [dot] edu

New:

Startup: XYZ Robotics (stay tuned)

My CMU RI Seminar Talk on ICRA 2016 BEST PAPER

Some internship work at TRI: Book Pulling (IEEE Spectrum)

Planar Manipulation Software Toolbox

IROS Workshop on Contact-rich Interaction

Brief Bio

I recently graduated with a PhD from The Robotics Institute of CMU School of Computer Science. I was co-advised by Drew Bagnell and Matt Mason.

I interned at TRI Manipulation Group , GoogleX Self-driving Car team (now Waymo) and Turi.

I received my Master of Robotics in Dec. 2013 from CMU and B.S. in Computer Science in June. 2012 from Chien-Shiung Wu Honors College, Southeast University.

Research Interests

My most recent work focuses on 3D perception in the context of robotic manipulation. My thesis addresses several aspects of contact-rich robotic manipulation including mechanics modeling, planning, control and perception.

Current Research Projects

	Pushing revisited: Differential flatness, trajectory planning and stabilization [Preprint] Jiaji Zhou, Matthew T. Mason ISRR 2017 [Video]
	A Probabilistic Planning Framework for Planar Grasping Under Uncertainty [PDF] Jiaji Zhou, Robert Paolini, Aaron M. Johnson, J. Andrew Bagnell, Matthew T. Mason IROS (RA-Letter) 2017 [Video]
	A fast stochastic contact model for planar pushing and grasping: Theory and experimental validation, [PDF][IJRR] Jiaji Zhou, J. Andrew Bagnell, Matthew T. Mason RSS 2017 IJRR 2018 [Video] [Code]
	A Convex Polynomial Force-Motion Model for Planar Sliding: Identification and Application [PDF][IJRR] Jiaji Zhou, Robert Paolini, J. Andrew Bagnell, Matthew T. Mason ICRA 2016 Best Conference Paper IJRR 2018 [Video] [Code]

Past Research Projects

My master's research projects explored provable techniques for near-optimal algorithms for list prediction, with applications in document summarization, spatially fine-grained object detection, manipulator trajectory library selection.

	Visual Chunking: A List Prediction Framework for Region-based Object Detection [PDF] Nick Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew (Drew) Bagnell ICRA 2015
	Learning Policies for Contextual Submodular Prediction [PDF] Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew (Drew) Bagnell ICML 2013 [Code based upon Vowpal Wabbit]
	Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization [PDF] Jiaji Zhou, Stephane Ross, Yisong Yue, Debadeepta Dey, J. Andrew (Drew) Bagnell ICML 2013 Workshop on Inferning: Interactions between Inference and Learning