Constrained unscented dynamic programming. - Brian Plancher; Zachary Manchester; Scott Kuindersma (IROS, 2017)

A Performance Analysis of Parallel Differential Dynamic Programming on a GPU. - Brian Plancher; Scott Kuindersma (WAFR, 2018)

Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. - Brian Plancher; Camelia D. Brumar; Iulian Brumar; Lillian Pentecost; Saketh Rama; David Brooks 001 (HPEC, 2019)

The Role of Compute in Autonomous Aerial Vehicles. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Bardienus Pieter Duisterhof; Brian Plancher; Kayvan Mansoorshahi; Marcelino Almeida; Wenzhi Cui; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 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)

RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. - Behzad Boroujerdian; Radhika Ghosal; Jonathan J. Cruz; Brian Plancher; Vijay Janapa Reddi (DAC, 2021)

Widening Access to Applied Machine Learning with TinyML. - Vijay Janapa Reddi; Brian Plancher; Susan Kennedy; Laurence Moroney; Pete Warden; Anant Agarwal; Colby R. Banbury; Massimo Banzi; Matthew Bennett; Benjamin Brown; Sharad Chitlangia; Radhika Ghosal; et al. (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)

The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Bardienus Pieter Duisterhof; Brian Plancher; Kayvan Mansoorshahi; Marcelino Almeida; Wenzhi Cui; Aleksandra Faust; Vijay Janapa Reddi (ACM Trans. Comput. Syst., 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)

Leveraging Community Software in CS Education to Avoid Reinventing the Wheel. - Jeremiah J. Blanchard; John R. Hott; Vincent Berry; Rebecca Carroll; Bob Edmison; Richard Glassey; Oscar Karnalim; Brian Plancher; Seán Russell 001 (ITiCSE (2), 2022)

Stop Reinventing the Wheel! Promoting Community Software in Computing Education. - Jeremiah J. Blanchard; John R. Hott; Vincent Berry; Rebecca Carroll; Bob Edmison; Richard Glassey; Oscar Karnalim; Brian Plancher; Seán Russell 001 (ITiCSE-WGR, 2022)

TinyMLedu: The Tiny Machine Learning Open Education Initiative. - Brian Plancher; Vijay Janapa Reddi (SIGCSE (2), 2022)

Machine Learning Sensors. - Pete Warden; Matthew Stewart; Brian Plancher; Colby R. Banbury; Shvetank Prakash; Emma Chen; Zain Asgar; Sachin Katti; Vijay Janapa Reddi (CoRR, 2022)

Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion. - Lev Grossman; Brian Plancher (ICRA, 2023)

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)

Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. - Shvetank Prakash; Matthew Stewart; Colby R. Banbury; Mark Mazumder; Pete Warden; Brian Plancher; Vijay Janapa Reddi (CoRR, 2023)

Datasheets for Machine Learning Sensors. - Matthew Stewart; Pete Warden; Yasmine Omri; Shvetank Prakash; Joao Santos; Shawn Hymel; Benjamin Brown; Jim MacArthur; Nat Jeffries; Brian Plancher; Vijay Janapa Reddi (CoRR, 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)

Is TinyML Sustainable? - Shvetank Prakash; Matthew Stewart; Colby R. Banbury; Mark Mazumder; Pete Warden; Brian Plancher; Vijay Janapa Reddi (Commun. ACM, 2023)

Machine Learning Sensors. - Pete Warden; Matthew Stewart; Brian Plancher; Sachin Katti; Vijay Janapa Reddi (Commun. ACM, 2023)

TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. - Brian Plancher; Sebastian Büttrich; Jeremy Ellis; Neena Goveas; Laila D. Kazimierski; Jesús Alfonso López Sotelo; Milan Lukic; Diego Mendez 001; Rosdiadee Nordin; Andrés Oliva Trevisan; Massimo Pavan; Manuel Roveri; et al. (AAAI Spring Symposia, 2024)

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)

MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU. - Emre Adabag; Miloni Atal; William Gerard; Brian Plancher (ICRA, 2024)

Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization. - Xueyi Bu; Brian Plancher (ICRA, 2024)

Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning. - Lev Grossman; Brian Plancher (ICRA, 2024)

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers. - Khai Nguyen; Sam Schoedel; Anoushka Alavilli; Brian Plancher; Zachary Manchester (ICRA, 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)

Parallel Optimization for Robotics: An Undergraduate Introduction to GPU Parallel Programming and Numerical Optimization Research. - Brian Plancher (IPDPS (Workshops), 2024)

Code Generation for Conic Model-Predictive Control on Microcontrollers with TinyMPC. - Sam Schoedel; Khai Nguyen; Elakhya Nedumaran; Brian Plancher; Zachary Manchester (CoRR, 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)

Underrepresentation of Women in Robotics Research [Women in Engineering]. - Elizabeth Fields; Chloe Ho; Min Jie Kim; Zixuan Wu; Brian Plancher (IEEE Robotics Autom. Mag., 2024)

Improving the Representation of Undergraduate Women in Cybersecurity: A Literature Review. - Ena Selma-Housein; Brian Plancher (SIGCSE (1), 2025)

Materiality and risk in the age of pervasive AI sensors. - Mona Sloane; Emanuel Moss; Susan Kennedy; Matthew Stewart; Pete Warden; Brian Plancher; Vijay Janapa Reddi (Nat. Mac. Intell., 2025)

pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning. - Chih H. Huang; Pranav Jadhav; Brian Plancher; Zachary Kingston (CoRR, 2025)

Polynomial and Parallelizable Preconditioning for Block Tridiagonal Positive Definite Matrix. - Shaohui Yang; Toshiyuki Ohtsuka; Brian Plancher; Colin N. Jones (CoRR, 2025)

Set Phasers to Stun: Beaming Power and Control to Mobile Robots with Laser Light. - Charles J. Carver; Hadleigh Schwartz; Toma Itagaki; Zachary Englhardt; Kechen Liu; Megan Graciela Nauli Manik; Chun-Cheng Chang; Vikram Iyer; Brian Plancher; Xia Zhou (CoRR, 2025)

Robust and Efficient Embedded Convex Optimization through First-Order Adaptive Caching. - Ishaan Mahajan; Brian Plancher (CoRR, 2025)