Self-aware computing in the Angstrom processor. - Henry Hoffmann; Jim Holt; George Kurian; Eric Lau; Martina Maggio; Jason E. Miller; Sabrina M. Neuman; Mahmut E. Sinangil; Yildiz Sinangil; Anant Agarwal; Anantha P. Chandrakasan; Srinivas Devadas (DAC, 2012)

Power modeling and other new features in the Graphite simulator. - George Kurian; Sabrina M. Neuman; George Bezerra; Anthony Giovinazzo; Srinivas Devadas; Jason E. Miller (ISPASS, 2014)

A self-aware processor SoC using energy monitors integrated into power converters for self-adaptation. - Yildiz Sinangil; Sabrina M. Neuman; Mahmut E. Sinangil; Nathan Ickes; George Bezerra; Eric Lau; Jason E. Miller; Henry Hoffmann; Srinivas Devadas; Anantha P. Chandrakasan (VLSIC, 2014)

Using Application-Level Thread Progress Information to Manage Power and Performance. - Sabrina M. Neuman; Jason E. Miller; Daniel Sánchez 003; Srinivas Devadas (ICCD, 2017)

Benchmarking and Workload Analysis of Robot Dynamics Algorithms. - Sabrina M. Neuman; Twan Koolen; Jules Drean; Jason E. Miller; Srinivas Devadas (IROS, 2019)

Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology. - Sabrina M. Neuman; Brian Plancher; Thomas Bourgeat; Thierry Tambe; Srinivas Devadas; Vijay Janapa Reddi (ASPLOS, 2021)

Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Sabrina M. Neuman; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (CoRR, 2021)

Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA. - Brian Plancher; Sabrina M. Neuman; Thomas Bourgeat; Scott Kuindersma; Srinivas Devadas; Vijay Janapa Reddi (IEEE Robotics Autom. Lett., 2021)

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. - Sabrina M. Neuman; Brian Plancher; Bardienus Pieter Duisterhof; Srivatsan Krishnan; Colby R. Banbury; Mark Mazumder; Shvetank Prakash; Jason Jabbour; Aleksandra Faust; Guido C. H. E. de Croon; Vijay Janapa Reddi (AICAS, 2022)

GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. - Brian Plancher; Sabrina M. Neuman; Radhika Ghosal; Scott Kuindersma; Vijay Janapa Reddi (ICRA, 2022)

RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. - Víctor Mayoral Vilches; Sabrina M. Neuman; Brian Plancher; Vijay Janapa Reddi (IROS, 2022)

Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Sabrina M. Neuman; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (MICRO, 2022)

RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots. - Sabrina M. Neuman; Radhika Ghosal; Thomas Bourgeat; Brian Plancher; Vijay Janapa Reddi (ISCA, 2023)

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. - Víctor Mayoral Vilches; Jason Jabbour; Yu-Shun Hsiao; Zishen Wan; Alejandra Martínez-Fariña; Martiño Crespo-Álvarez; Matthew Stewart; Juan Manuel Reina-Muñoz; Prateek Nagras; Gaurav Vikhe; Mohammad Bakhshalipour; Martin Pinzger 001; et al. (CoRR, 2023)

Invited: The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. - Sabrina M. Neuman; Brian Plancher; Vijay Janapa Reddi (DAC, 2024)

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. - Víctor Mayoral Vilches; Jason Jabbour; Yu-Shun Hsiao; Zishen Wan; Martiño Crespo-Álvarez; Matthew Stewart; Juan Manuel Reina-Muñoz; Prateek Nagras; Gaurav Vikhe; Mohammad Bakhshalipour; Martin Pinzger 001; Stefan Rass; et al. (ICRA, 2024)

The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. - Sabrina M. Neuman; Brian Plancher; Vijay Janapa Reddi (CoRR, 2024)