Brian Plancher

According to our database, Brian Plancher authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., March, 2024

Code Generation for Conic Model-Predictive Control on Microcontrollers with TinyMPC.

Sam Schoedel, Khai Nguyen, Elakhya Nedumaran, Brian Plancher, Zachary Manchester

CoRR, 2024

Materiality and Risk in the Age of Pervasive AI Sensors.

Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi

CoRR, 2024

2023

Machine Learning Sensors.

Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi

Commun. ACM, November, 2023

Is TinyML Sustainable?

Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi

Commun. ACM, November, 2023

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers.

Anoushka Alavilli, Khai Nguyen, Sam Schoedel, Brian Plancher, Zachary Manchester

CoRR, 2023

Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning.

Lev Grossman, Brian Plancher

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, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi

CoRR, 2023

MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU.

Emre Adabag, Miloni Atal, William Gerard, Brian Plancher

CoRR, 2023

Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization.

Xueyi Bu, Brian Plancher

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

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

RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots.

Sabrina M. Neuman, Radhika Ghosal, Thomas Bourgeat, Brian Plancher, Vijay Janapa Reddi

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion.

Lev Grossman, Brian Plancher

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

TinyMLedu: The Tiny Machine Learning Open Education Initiative.

Brian Plancher, Vijay Janapa Reddi

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 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

Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education, 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

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

RobotCore: An Open Architecture for Hardware Acceleration in ROS 2.

Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients.

Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

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

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

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

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

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, 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

CoRR, 2021

RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity.

Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

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

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

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

Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM.

Brian Plancher, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018

A Performance Analysis of Parallel Differential Dynamic Programming on a GPU.

Brian Plancher, Scott Kuindersma

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

2017

Constrained unscented dynamic programming.

Brian Plancher, Zachary Manchester, Scott Kuindersma

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017