Towards Enabling a Robot to Effectively Assist People in Human-Occupied Environments. - Sachithra Hemachandra; Ross Finman; Sudeep Pillai; Seth J. Teller; Matthew R. Walter (AAAI Spring Symposium: Designing Intelligent Robots, 2012)

A summary of team MIT's approach to the virtual robotics challenge. - Russ Tedrake; Maurice F. Fallon; Sisir Karumanchi; Scott Kuindersma; Matthew E. Antone; Toby Schneider; Thomas M. Howard; Matthew R. Walter; Hongkai Dai; Robin Deits; Michael Fleder; Dehann Fourie; et al. (ICRA, 2014)

Learning Articulated Motions From Visual Demonstration. - Sudeep Pillai; Matthew R. Walter; Seth J. Teller (Robotics: Science and Systems, 2014)

Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction. - Srikumar Ramalingam; Michel Antunes; Daniel Snow; Gim Hee Lee; Sudeep Pillai (CVPR, 2015)

Monocular SLAM Supported Object Recognition. - Sudeep Pillai; John J. Leonard (Robotics: Science and Systems, 2015)

Bitcoin Transaction Graph Analysis. - Michael Fleder; Michael S. Kester; Sudeep Pillai (CoRR, 2015)

High-performance and tunable stereo reconstruction. - Sudeep Pillai; Srikumar Ramalingam; John J. Leonard (ICRA, 2016)

SLAMinDB: Centralized graph databases for mobile robotics. - Dehann Fourie; Samuel Claassens; Sudeep Pillai; Roxana Mata; John J. Leonard (ICRA, 2017)

Towards visual ego-motion learning in robots. - Sudeep Pillai; John J. Leonard (IROS, 2017)

Exploring big volume sensor data with Vroom. - Oscar R. Moll; Aaron Zalewski; Sudeep Pillai; Samuel Madden 001; Michael Stonebraker; Vijay Gadepally (Proc. VLDB Endow., 2017)

Simultaneous Localization and Mapping- aware, self-supervised perception in mobile robots. - Sudeep Pillai (2017)

Two Stream Networks for Self-Supervised Ego-Motion Estimation. - Rares Ambrus; Vitor Guizilini; Jie Li 031; Sudeep Pillai; Adrien Gaidon (CoRL, 2019)

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. - Vitor Guizilini; Jie Li 031; Rares Ambrus; Sudeep Pillai; Adrien Gaidon (CoRL, 2019)

SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. - Sudeep Pillai; Rares Ambrus; Adrien Gaidon (ICRA, 2019)

PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. - Vitor Guizilini; Rares Ambrus; Sudeep Pillai; Adrien Gaidon (CoRR, 2019)

Self-Supervised Visual Place Recognition Learning in Mobile Robots. - Sudeep Pillai; John J. Leonard (CoRR, 2019)

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. - Jiexiong Tang; Rares Ambrus; Vitor Guizilini; Sudeep Pillai; Hanme Kim; Adrien Gaidon (CoRR, 2019)

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. - Igor Vasiljevic; Vitor Guizilini; Rares Ambrus; Sudeep Pillai; Wolfram Burgard; Greg Shakhnarovich; Adrien Gaidon (3DV, 2020)

Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. - Jiexiong Tang; Rares Ambrus; Vitor Guizilini; Sudeep Pillai; Hanme Kim; Patric Jensfelt; Adrien Gaidon (CoRL, 2020)

3D Packing for Self-Supervised Monocular Depth Estimation. - Vitor Guizilini; Rares Ambrus; Sudeep Pillai; Allan Raventos; Adrien Gaidon (CVPR, 2020)

Neural Outlier Rejection for Self-Supervised Keypoint Learning. - Jiexiong Tang; Hanme Kim; Vitor Guizilini; Sudeep Pillai; Rares Ambrus (ICLR, 2020)

PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. - Kuan-Hui Lee; Matthew Kliemann; Adrien Gaidon; Jie Li 031; Chao Fang; Sudeep Pillai; Wolfram Burgard (IROS, 2020)

Finding Label and Model Errors in Perception Data With Learned Observation Assertions. - Daniel Kang; Nikos Aréchiga; Sudeep Pillai; Peter D. Bailis; Matei Zaharia (SIGMOD Conference, 2022)