Rutgers
Cinque Terre

Chaitanya Mitash

Ph.D Student, Computer Science
Rutgers University


I am a third year graduate student advised by professors Abdeslam Boularias and Kostas Bekris . My research interests lie in the field of Robotics, Computer Vision and Machine Learning. Specifically, I am currently working on problems related to perception in Robotics.


Links to my GitHub, LinkedIn profiles and CV:


News

► Presenting our paper at BMVC '18, Newcastle, UK (September 03 - September 06, 2018)
► Research Intern at Microsoft, Redmond, WA, USA (June 4 - August 31, 2018)
► Presenting our paper at ICRA '18, Brisbane, Australia (May 21 - 25, 2018)
► Started Research collaboration with JD.COM (January, 2018)
► Presenting a poster at NERC '17, Boston, MA, USA (October 21, 2017)
► Presenting our paper at IROS '17, Vancouver, Canada (September 24 - 28, 2017)
► Started as a PhD student at Rutgers University, NJ, USA (September, 2015)
► Working at Samsung Research, Suwon, South Korea (February - April, 2015)
► Started working as Senior Software Engineer at Samsung R&D India, Bangalore (April, 2014)
► Started working as R&D Engineer at Tejas Networks, Bangalore (August, 2012)
► Completed B.E. in Computer Science from Birla Institute of Technology, Mesra (May, 2012)


Conference papers

Chaitanya Mitash, Abdeslam Boularias and Kostas Bekris, "Robust 6D Object Pose Estimation with Stochastic Congruent Sets", To Appear at the British Machine Vision Conference (BMVC), Newcastle, England, UK, 2018 [ArXiV] [Video] [PDF] [Poster]

Chaitanya Mitash, Abdeslam Boularias and Kostas Bekris, "Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search", In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 2018 [Webpage] [ArXiV] [IEEE] [Video] [Poster]

Chaitanya Mitash, Kostas Bekris and Abdeslam Boularias, "A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation", In Proceedings of IEEE International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017 [Webpage] [ArXiV] [IEEE] [Video]

Rahul Shome, Wei N. Tang, Changkyu Song, Chaitanya Mitash, Chris Kourtev, Jingjin Yu, Abdeslam Boularias, and Kostas E. Bekris, "Towards Robust Product Packing with a Minimalistic End-Effector", In Submission [Webpage]

Jean-Philippe Mercier, Chaitanya Mitash, Philippe Giguere and Abdeslam Boularias, "Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images", In Submission [ArXiV]


Journal articles

► Chaitanya Mitash, Abdeslam Boularias and Kostas Bekris, "Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter", Under review at the International Journal of Robotics Research (IJRR) [arXiv] [Webpage]

Workshops and talks

► Chaitanya Mitash, Abdeslam Boularias and Kostas Bekris, "Physics-aware Simulation and a Self-Supervised Learning System for Object Detection and Pose Estimation", Workshop on Warehouse Picking Automation, IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017 [Abstract] [PPT]
► Chaitanya Mitash, Abdeslam Boularias and Kostas Bekris, "Object Detection and Pose Estimation for Robotic Manipulation using Physics Simulation and Monte Carlo Tree Search", Northeast Robotics Colloquium (NERC), Boston, 2017 [Poster]