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Learning Agile, Vision-based Drone Flight: from Simulation to Reality

Learning Agile, Vision-based Drone Flight: from Simulation to Reality

9 April 2023
Davide Scaramuzza
Elia Kaufmann
ArXivPDFHTML

Papers citing "Learning Agile, Vision-based Drone Flight: from Simulation to Reality"

6 / 6 papers shown
Title
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics
  Learning and Control
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control
T. Duong
Abdullah Altawaitan
Jason Stanley
Nikolay A. Atanasov
20
9
0
17 Jan 2024
Unifying Foundation Models with Quadrotor Control for Visual Tracking
  Beyond Object Categories
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories
Alessandro Saviolo
P. Rao
Vivek Radhakrishnan
Jiuhong Xiao
Giuseppe Loianno
20
5
0
07 Oct 2023
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene
  Scale and Realism Tradeoffs for ObjectGoal Navigation
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
Mukul Khanna
Yongsen Mao
Hanxiao Jiang
Sanjay Haresh
Brennan Schacklett
Dhruv Batra
Alexander William Clegg
Eric Undersander
Angel X. Chang
Manolis Savva
3DV
14
67
0
20 Jun 2023
Nonlinear MPC for Quadrotor Fault-Tolerant Control
Nonlinear MPC for Quadrotor Fault-Tolerant Control
Fangzhe Nan
Sihao Sun
Philipp Foehn
Davide Scaramuzza
25
74
0
27 Sep 2021
PAMPC: Perception-Aware Model Predictive Control for Quadrotors
PAMPC: Perception-Aware Model Predictive Control for Quadrotors
Davide Falanga
Philipp Foehn
Peng Lu
Davide Scaramuzza
58
214
0
13 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
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