I am currently a Research Scientist at Toyota Research Institute’s Machine Learning team. I received my PhD in CS from MIT where I worked with John Leonard on SLAM-aware, self-supervised perception and learning in mobile robots. Prior to coming to MIT, I was a computer vision developer at PhaseSpace Motion Capture for 2 years working on real-time computer-vision related technologies. I completed my B.S. in Mechanical Engineering in ‘08 at the University of Michigan - Ann Arbor. I’ve also had the opportunity to work as a research intern at some exciting companies like Mitsubishi Electric Research Labs (MERL) and Segway.
I am particularly interested in developing SLAM-aware robots that can learn persistently in an environment from visual experience. My research attempts to understand the capabilities at the intersection of object and scene understanding and Simultaneous Localization and Mapping (SLAM). I am interested in high-impact ventures leveraging computer vision, machine learning and perception technologies in autonomous systems (self-driving cars, house-hold robotics, UAVs, AUVs etc). For a more comprehensive overview of my background and previous work, please refer to my CV.
|Present||2011 - 2017||2014||2009 - 2011||2007||2005 - 2008|
Self-Supervised Place Recognition in Mobile Robots
S. Pillai and J. Leonard
Learning for Localization and Mapping Workshop, IROS, 2017
[ pdf ]
SLAMinDB: Centralized graph databases for mobile robotics
D. Fourie, S. Claassens, S. Pillai, R. Mata, J. Leonard
International Conference on Robotics and Automation (ICRA), 2017
[ pdf ]
High-Performance and Tunable Stereo Reconstruction
S. Pillai, S. Ramalingam and J. Leonard
International Conference on Robotics and Automation (ICRA), 2016
[ pdf, video, bib ]