17 citations · 26 across the 6 of their papers we have counts for
6 papers
The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems
Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi
The end of Moore's Law and Dennard Scaling has combined with advances in agile hardware design to foster a golden age of domain-specific acceleration. However, this new frontier of…
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance
Víctor Mayoral-Vilches, Jason Jabbour, Yu-Shun Hsiao +16
We introduce RobotPerf, a vendor-agnostic benchmarking suite designed to evaluate robotics computing performance across a diverse range of hardware platforms using ROS 2 as its com…
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
Sabrina M. Neuman, Brian Plancher, Bardienus P. Duisterhof +8
Machine learning (ML) has become a pervasive tool across computing systems. An emerging application that stress-tests the challenges of ML system design is tiny robot learning, the…
RobotCore: An Open Architecture for Hardware Acceleration in ROS 2
Víctor Mayoral-Vilches, Sabrina M. Neuman, Brian Plancher +1
Hardware acceleration can revolutionize robotics, enabling new applications by speeding up robot response times while remaining power-efficient. However, the diversity of accelerat…
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients
Brian Plancher, Sabrina M. Neuman, Radhika Ghosal +2
We introduce GRiD: a GPU-accelerated library for computing rigid body dynamics with analytical gradients. GRiD was designed to accelerate the nonlinear trajectory optimization subp…
AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj +6
Building domain-specific accelerators for autonomous unmanned aerial vehicles (UAVs) is challenging due to a lack of systematic methodology for designing onboard compute. Balancing…