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Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots


May 11, 2022
Sabrina M. Neuman, Brian Plancher, Bardienus P. Duisterhof, Srivatsan Krishnan, Colby Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi

* 4 pages, 3 figures, 1 table, in IEEE AICAS 2022 

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Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles


Apr 22, 2022
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi

* To Appear in 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). arXiv admin note: substantial text overlap with arXiv:2111.03792 

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Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones


Nov 13, 2021
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Aleksandra Faust, Vijay Janapa Reddi


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AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots


Sep 13, 2021
Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi

* Class Project for CS249r: Special Topics on Edge Computing (Autonomous Machines) 

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Widening Access to Applied Machine Learning with TinyML


Jun 09, 2021
Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart, Dustin Tingley

* Understanding the underpinnings of the TinyML edX course series: https://www.edx.org/professional-certificate/harvardx-tiny-machine-learning 

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RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads


Mar 04, 2021
James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko

* RL-Scope is an open-source tool available at https://github.com/UofT-EcoSystem/rlscope . Proceedings of the 4th MLSys Conference, 2021. Changes: camera ready for MLSys publication -- shorten abstract, add acknowledgements, minor grammar fixes 

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Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots


Feb 05, 2021
Srivatsan Krishnan, Zishen Wan, Kshitij Bharadwaj, Paul Whatmough, Aleksandra Faust, Sabrina Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi


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Quantized Reinforcement Learning (QUARL)


Oct 04, 2019
Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi

* Equal contribution from first three authors 

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