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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, 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: 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, Brian Plancher, Sachin Katti, Vijay Janapa Reddi:
Machine Learning Sensors. Commun. ACM 66(11): 25-28 (2023) - [j3]Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi:
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, Radhika Ghosal, Thomas Bourgeat, Brian Plancher, Vijay Janapa Reddi:
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, Sam Schoedel, Brian Plancher, Zachary Manchester:
TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers. CoRR abs/2310.16985 (2023) - 2022
- [c11]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: 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, Vijay Janapa Reddi:
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. IROS 2022: 9692-9699 - [c8]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: 261-292 - [c7]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: 580-581 - [c6]Brian Plancher, Vijay Janapa Reddi:
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, Guido C. H. E. de Croon, Vijay Janapa Reddi:
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, 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): 2335-2342 (2021) - [j1]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(1-4): 3:1-3:44 (2021) - [c5]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: 674-686 - [c4]Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi:
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. DAC 2021: 829-834 - [i4]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 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, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks:
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, Scott Kuindersma:
A Performance Analysis of Parallel Differential Dynamic Programming on a GPU. WAFR 2018: 656-672 - 2017
- [c1]Brian Plancher, Zachary Manchester, Scott Kuindersma:
Constrained unscented dynamic programming. IROS 2017: 5674-5680
Coauthor Index
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last updated on 2024-12-02 22:34 CET by the dblp team
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