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09/15/2023
MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU
Nonlinear Model Predictive Control (NMPC) is a state-of-the-art approach...
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09/12/2023
Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization
There has been a growing interest in parallel strategies for solving tra...
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06/15/2023
Datasheets for Machine Learning Sensors
Machine learning (ML) sensors offer a new paradigm for sensing that enab...
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01/27/2023
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers
The sustained growth of carbon emissions and global waste elicits signif...
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10/14/2022
Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion
Deep reinforcement learning (DRL) is one of the most powerful tools for ...
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06/07/2022
Machine Learning Sensors
Machine learning sensors represent a paradigm shift for the future of em...
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05/11/2022
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
Machine learning (ML) has become a pervasive tool across computing syste...
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05/08/2022
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2
Hardware acceleration can revolutionize robotics, enabling new applicati...
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09/14/2021
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients
We introduce GRiD: a GPU-accelerated library for computing rigid body dy...
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08/30/2021
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity
The limited onboard energy of autonomous mobile robots poses a tremendou...
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06/07/2021
Widening Access to Applied Machine Learning with TinyML
Broadening access to both computational and educational resources is cri...
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06/24/2019