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1710.05472
Cited By
Safe Learning of Quadrotor Dynamics Using Barrier Certificates
16 October 2017
Li Wang
Evangelos A. Theodorou
M. Egerstedt
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Papers citing
"Safe Learning of Quadrotor Dynamics Using Barrier Certificates"
50 / 73 papers shown
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DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models
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315
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Bayesian meta learning for trustworthy uncertainty quantification
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Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments
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289
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Learning Piecewise Residuals of Control Barrier Functions for Safety of Switching Systems using Multi-Output Gaussian Processes
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179
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26 Mar 2024
Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings
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Sadegh Soudjani
227
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15 Mar 2024
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
Yu Zhang
Long Wen
Xiangtong Yao
Zhenshan Bing
Linghuan Kong
Wei He
Alois Knoll
169
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29 Feb 2024
A Survey of Offline and Online Learning-Based Algorithms for Multirotor UAVs
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303
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Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems
IEEE Control Systems Letters (L-CSS), 2023
Lukas Brunke
Siqi Zhou
Mingxuan Che
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267
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15 Dec 2023
M
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{\tt MORALS}
MORALS
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276
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Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
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David Saldaña
194
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SO(2)-Equivariant Downwash Models for Close Proximity Flight
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Henry Smith
Ajay Shankar
Jennifer Gielis
J. Blumenkamp
A. Prorok
316
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Exact Recovery for System Identification with More Corrupt Data than Clean Data
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Haixiang Zhang
Javad Lavaei
Murat Arcak
379
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17 May 2023
GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
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Francesco Crocetti
Jeffrey Mao
Alessandro Saviolo
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175
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14 Mar 2023
EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency
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Goli Vaisi
Yasser Shoukry
M. A. Al Faruque
158
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Learning-based Predictive Path Following Control for Nonlinear Systems Under Uncertain Disturbances
IEEE Robotics and Automation Letters (RA-L), 2021
Ruicong Yang
Lei Zheng
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Hui Cheng
99
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Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data
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Prithvi Akella
Skylar X. Wei
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Aaron D. Ames
178
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C. He
Tamás G. Molnár
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127
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Manan S. Gandhi
Yuichiro Aoyama
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Evangelos A. Theodorou
191
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Machine Learning for Smart and Energy-Efficient Buildings
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Hari Prasanna Das
Yu-Wen Lin
Utkarsha Agwan
Lucas Spangher
Alex Devonport
Yu Yang
Ján Drgoňa
A. Chong
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208
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Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
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Jonathan Frey
Abhishek Rathod
Moritz Diehl
Giuseppe Loianno
431
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Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
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Xiaowu Sun
Yasser Shoukry
177
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Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees
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Ewerton R. Vieira
Aravind Sivaramakrishnan
Yao Song
Edgar Granados
Marcio Gameiro
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202
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A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret
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173
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Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions
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Safe Drone Flight with Time-Varying Backup Controllers
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Andrew W. Singletary
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150
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Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning
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He-lu Huang
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218
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Control Barrier Functions and Input-to-State Safety with Application to Automated Vehicles
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Anil Alan
Andrew J. Taylor
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G. Orosz
210
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Provable Probabilistic Safety and Feasibility-Assured Control for Autonomous Vehicles using Exponential Control Barrier Functions
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205
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Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems
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Lukas Brunke
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190
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Safe Reinforcement Learning for Legged Locomotion
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Tsung-Yen Yang
Tingnan Zhang
Linda Luu
Sehoon Ha
Jie Tan
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255
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Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving
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Makram Chahine
Alexander Amini
Ramin Hasani
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230
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Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM
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217
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Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers
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Edgar Granados
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Onboard Safety Guarantees for Racing Drones: High-speed Geofencing with Control Barrier Functions
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215
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ProBF: Learning Probabilistic Safety Certificates with Barrier Functions
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