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Brian Plancher
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2020 – today
- 2024
- [j5]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): 120-122 (2024) - [c21]Brian Plancher, Sebastian Büttrich, Jeremy Ellis, Neena Goveas, Laila D. Kazimierski, Jesús Alfonso López Sotelo, Milan Lukic, Diego Mendez
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. AAAI Spring Symposia 2024: 508-515 - [c20]Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
Invited: The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. DAC 2024: 367:1-367:4 - [c19]Khai Nguyen, Sam Schoedel, Anoushka Alavilli, Brian Plancher, Zachary Manchester:
TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers. ICRA 2024: 1-7 - [c18]Lev Grossman, Brian Plancher:
Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning. ICRA 2024: 2880-2886 - [c17]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: 8288-8297 - [c16]Xueyi Bu, Brian Plancher:
Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization. ICRA 2024: 9779-9786 - [c15]Emre Adabag, Miloni Atal, William Gerard, Brian Plancher:
MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU. ICRA 2024: 9787-9794 - [c14]Brian Plancher:
Parallel Optimization for Robotics: An Undergraduate Introduction to GPU Parallel Programming and Numerical Optimization Research. IPDPS (Workshops) 2024: 342-345 - [i18]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 abs/2402.11183 (2024) - [i17]Sam Schoedel, Khai Nguyen, Elakhya Nedumaran, Brian Plancher, Zachary Manchester:
Code Generation for Conic Model-Predictive Control on Microcontrollers with TinyMPC. CoRR abs/2403.18149 (2024) - [i16]Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems. CoRR abs/2407.17311 (2024) - 2023
- [j4]Pete Warden, Matthew Stewart
Machine Learning Sensors. Commun. ACM 66(11): 25-28 (2023) - [j3]Shvetank Prakash, Matthew Stewart
Is TinyML Sustainable? Commun. ACM 66(11): 68-77 (2023) - [c13]Lev Grossman, Brian Plancher:
Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion. ICRA 2023: 3002-3007 - [c12]Sabrina M. Neuman
RoboShape: Using Topology Patterns to Scalably and Flexibly Deploy Accelerators Across Robots. ISCA 2023: 69:1-69:13 - [i15]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 abs/2301.11899 (2023) - [i14]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 abs/2306.08848 (2023) - [i13]Xueyi Bu, Brian Plancher:
Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization. CoRR abs/2309.06427 (2023) - [i12]Emre Adabag, Miloni Atal, William Gerard, Brian Plancher:
MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU. CoRR abs/2309.08079 (2023) - [i11]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 abs/2309.09212 (2023) - [i10]Lev Grossman, Brian Plancher:
Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning. CoRR abs/2310.01767 (2023) - [i9]Anoushka Alavilli, Khai Nguyen
TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers. CoRR abs/2310.16985 (2023) - 2022
- [c11]Sabrina M. Neuman, Brian Plancher
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. AICAS 2022: 296-299 - [c10]Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi:
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. ICRA 2022: 6253-6260 - [c9]Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. IROS 2022: 9692-9699 - [c8]Jeremiah J. Blanchard
Stop Reinventing the Wheel! Promoting Community Software in Computing Education. ITiCSE-WGR 2022: 261-292 - [c7]Jeremiah J. Blanchard
Leveraging Community Software in CS Education to Avoid Reinventing the Wheel. ITiCSE (2) 2022: 580-581 - [c6]Brian Plancher
TinyMLedu: The Tiny Machine Learning Open Education Initiative. SIGCSE (2) 2022: 1159 - [i8]Víctor Mayoral Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. CoRR abs/2205.03929 (2022) - [i7]Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. CoRR abs/2205.05748 (2022) - [i6]Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi:
Machine Learning Sensors. CoRR abs/2206.03266 (2022) - [i5]Lev Grossman, Brian Plancher:
Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion. CoRR abs/2210.08065 (2022) - 2021
- [j2]Brian Plancher
Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA. IEEE Robotics Autom. Lett. 6(2): 2335-2342 (2021) - [j1]Behzad Boroujerdian
The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. ACM Trans. Comput. Syst. 39(1-4): 3:1-3:44 (2021) - [c5]Sabrina M. Neuman, Brian Plancher
Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology. ASPLOS 2021: 674-686 - [c4]Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. DAC 2021: 829-834 - [i4]Vijay Janapa Reddi, Brian Plancher, Susan Kennedy
Widening Access to Applied Machine Learning with TinyML. CoRR abs/2106.04008 (2021) - [i3]Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi:
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. CoRR abs/2108.13354 (2021) - [i2]Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi:
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. CoRR abs/2109.06976 (2021)
2010 – 2019
- 2019
- [c3]Brian Plancher
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. HPEC 2019: 1-7 - [i1]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 abs/1906.10513 (2019) - 2018
- [c2]Brian Plancher
A Performance Analysis of Parallel Differential Dynamic Programming on a GPU. WAFR 2018: 656-672 - 2017
- [c1]Brian Plancher
Constrained unscented dynamic programming. IROS 2017: 5674-5680
Coauthor Index
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