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

► 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

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]

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]

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] [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]


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]