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Learning to Assist Drone Landings
v1v2v3 (latest)

Learning to Assist Drone Landings

IEEE Robotics and Automation Letters (RA-L), 2020
26 November 2020
Kal Backman
Dana Kulić
Hoam Chung
ArXiv (abs)PDFHTML

Papers citing "Learning to Assist Drone Landings"

6 / 6 papers shown
Self-Supervised Learning to Fly using Efficient Semantic Segmentation and Metric Depth Estimation for Low-Cost Autonomous UAVs
Self-Supervised Learning to Fly using Efficient Semantic Segmentation and Metric Depth Estimation for Low-Cost Autonomous UAVs
Sebastian Mocanu
E. Slusanschi
Marius Leordeanu
200
0
0
18 Oct 2025
Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing
Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing
Tarik Houichime
Younes El Amrani
172
0
0
11 May 2025
Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic
  Platform Landings
Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings
Robinroy Peter
Lavanya Ratnabala
Demetros Aschu
A. Fedoseev
Dzmitry Tsetserukou
152
1
0
11 Mar 2024
Adapting Neural Models with Sequential Monte Carlo Dropout
Adapting Neural Models with Sequential Monte Carlo DropoutConference on Robot Learning (CoRL), 2022
Pamela Carreno-Medrano
Dana Kulic
Michael G. Burke
300
7
0
27 Oct 2022
Reinforcement Learning for Shared Autonomy Drone Landings
Reinforcement Learning for Shared Autonomy Drone LandingsAutonomous Robots (AR), 2022
Kal Backman
Dana Kulic
Hoam Chung
220
23
0
07 Feb 2022
On Optimizing Interventions in Shared Autonomy
On Optimizing Interventions in Shared Autonomy
Weihao Tan
David Koleczek
Siddhant Pradhan
Nicholas Perello
Vivek Chettiar
Vishal Rohra
Aaslesha Rajaram
Soundararajan Srinivasan
H. M. S. Hossain
Yash Chandak
258
6
0
16 Dec 2021
1
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