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Found 3 papers, 3 papers with code
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
Inspired by frame-based methods, state-of-the-art event-based optical flow networks rely on the explicit construction of correlation volumes, which are expensive to compute and store, rendering them unsuitable for robotic applications with limited compute and energy budget.
ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms
Meta-learning or few-shot learning, has been successfully applied in a wide range of domains from computer vision to reinforcement learning.
The Phoenix Drone: An Open-Source Dual-Rotor Tail-Sitter Platform for Research and Education
In particular, the details in this paper and the available open-source materials should enable learners to gain an understanding of aerodynamics, flight control, state estimation, software design, and simulation, while experimenting with a unique aerial robot.
Robotics
