Brian Plancher

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Predictive Control

Preconditioned Conjugate Gradient

Machine Learning

Top Venues

Publications

Lev Grossman, Brian Plancher
Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning. ICRA (2024)
Brian Plancher
Parallel Optimization for Robotics: An Undergraduate Introduction to GPU Parallel Programming and Numerical Optimization Research. IPDPS (Workshops) (2024)
Xueyi Bu, Brian Plancher
Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization. ICRA (2024)
Elizabeth Fields, Chloe Ho, Min Jie Kim, Zixuan Wu, Brian Plancher
Underrepresentation of Women in Robotics Research [Women in Engineering]. IEEE Robotics Autom. Mag. 31 (1) (2024)
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, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. ICRA (2024)
Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi
Materiality and Risk in the Age of Pervasive AI Sensors. CoRR (2024)
Khai Nguyen, Sam Schoedel, Anoushka Alavilli, Brian Plancher, Zachary Manchester
TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers. ICRA (2024)
Sam Schoedel, Khai Nguyen, Elakhya Nedumaran, Brian Plancher, Zachary Manchester
Code Generation for Conic Model-Predictive Control on Microcontrollers with TinyMPC. CoRR (2024)
Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. CoRR (2024)
Brian Plancher, Sebastian Büttrich, Jeremy Ellis, Neena Goveas, Laila D. Kazimierski, Jesús Alfonso López Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andrés Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, Marian Verhelst, Salah Abdeljabar, Segun Adebayo, Thomas Amberg, Halleluyah Aworinde, José Bagur, Gregg Barrett, Nabil Benamar, Bharat S. Chaudhari, Ronald Criollo, David Cuartielles, José A. Ferreira Filho, Solomon Gizaw, Evgeni Gousev, Alessandro Grande, Shawn Hymel, Peter Ing, Prashant Manandhar, Pietro Manzoni, Boris Murmann, Eric Pan, Rytis Paskauskas, Ermanno Pietrosemoli, Tales C. Pimenta, Marcelo Rovai, Marco Zennaro, Vijay Janapa Reddi
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. AAAI Spring Symposia (2024)
Emre Adabag, Miloni Atal, William Gerard, Brian Plancher
MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU. ICRA (2024)
Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
Is TinyML Sustainable? Commun. ACM 66 (11) (2023)
Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. CoRR (2023)
Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi
Datasheets for Machine Learning Sensors. CoRR (2023)
Emre Adabag, Miloni Atal, William Gerard, Brian Plancher
MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU. CoRR (2023)
Anoushka Alavilli, Khai Nguyen, Sam Schoedel, Brian Plancher, Zachary Manchester
TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers. CoRR (2023)
Xueyi Bu, Brian Plancher
Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization. CoRR (2023)
Sabrina M. Neuman, Radhika Ghosal, Thomas Bourgeat, Brian Plancher, Vijay Janapa Reddi
RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots. ISCA (2023)
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
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. CoRR (2023)
Lev Grossman, Brian Plancher
Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion. ICRA (2023)
Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi
Machine Learning Sensors. Commun. ACM 66 (11) (2023)
Lev Grossman, Brian Plancher
Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning. CoRR (2023)
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
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. CoRR (2022)
Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi
The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. ACM Trans. Comput. Syst. 39 (2022)
Lev Grossman, Brian Plancher
Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion. CoRR (2022)
Brian Plancher, Vijay Janapa Reddi
TinyMLedu: The Tiny Machine Learning Open Education Initiative. SIGCSE (2) (2022)
Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. ICRA (2022)
Jeremiah J. Blanchard, John R. Hott, Vincent Berry, Rebecca Carroll, Bob Edmison, Richard Glassey, Oscar Karnalim, Brian Plancher, Seán Russell
Stop Reinventing the Wheel! Promoting Community Software in Computing Education. ITiCSE-WGR (2022)
Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. CoRR (2022)
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
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. AICAS (2022)
Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. IROS (2022)
Jeremiah J. Blanchard, John R. Hott, Vincent Berry, Rebecca Carroll, Bob Edmison, Richard Glassey, Oscar Karnalim, Brian Plancher, Seán Russell
Leveraging Community Software in CS Education to Avoid Reinventing the Wheel. ITiCSE (2) (2022)
Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi
Machine Learning Sensors. CoRR (2022)
Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. CoRR (2021)
Brian Plancher, Sabrina M. Neuman, Thomas Bourgeat, Scott Kuindersma, Srinivas Devadas, Vijay Janapa Reddi
Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA. IEEE Robotics Autom. Lett. 6 (2) (2021)
Sabrina M. Neuman, Brian Plancher, Thomas Bourgeat, Thierry Tambe, Srinivas Devadas, Vijay Janapa Reddi
Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology. ASPLOS (2021)
Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. DAC (2021)
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
Widening Access to Applied Machine Learning with TinyML. CoRR (2021)
Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. CoRR (2021)
Brian Plancher, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. HPEC (2019)
Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi
The Role of Compute in Autonomous Aerial Vehicles. CoRR (2019)
Brian Plancher, Scott Kuindersma
A Performance Analysis of Parallel Differential Dynamic Programming on a GPU. WAFR (2018)
Brian Plancher, Zachary Manchester, Scott Kuindersma
Constrained unscented dynamic programming. IROS (2017)