Angela P. Schoellig
69 publications
10 venues
H Index 18
Affiliation
TU Munich, GermanyUniversity of Toronto, Canada
ETH Zurich, Switzerland
Links
| Name | Venue | Year | citations |
|---|---|---|---|
Optimal Initialization Strategies for Range-Only Trajectory Estimation.
|
IEEE Robotics and Automation Letters | 2024 | 0 |
| Range-Visual-Inertial Sensor Fusion for Micro Aerial Vehicle Localization and Navigation.
|
IEEE Robotics and Automation Letters | 2024 | 0 |
| Hierarchical Task Model Predictive Control for Sequential Mobile Manipulation Tasks.
|
IEEE Robotics and Automation Letters | 2024 | 0 |
| AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments.
|
ICRA | 2023 | 0 |
| Multi-View Keypoints for Reliable 6D Object Pose Estimation.
|
ICRA | 2023 | 0 |
| Uncertainty-Aware Gaussian Mixture Model for UWB Time Difference of Arrival Localization in Cluttered Environments.
|
IROS | 2023 | 0 |
| Does Unpredictability Influence Driving Behavior?
|
IROS | 2023 | 0 |
| POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments.
|
RSS | 2023 | 0 |
| Keep It Upright: Model Predictive Control for Nonprehensile Object Transportation With Obstacle Avoidance on a Mobile Manipulator.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics.
|
MLJ | 2023 | 0 |
| Boreas: A multi-season autonomous driving dataset.
|
IJRR | 2023 | 0 |
| Finding the Right Place: Sensor Placement for UWB Time Difference of Arrival Localization in Cluttered Indoor Environments.
|
IEEE Robotics and Automation Letters | 2022 | 8 |
| POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes.
|
RSS | 2022 | 0 |
| Gaussian Variational Inference with Covariance Constraints Applied to Range-only Localization.
|
IROS | 2022 | 1 |
| Min-Max Vertex Cycle Covers With Connectivity Constraints for Multi-Robot Patrolling.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?
|
IEEE Robotics and Automation Letters | 2022 | 6 |
| Fly Out the Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| Bridging the Model-Reality Gap With Lipschitz Network Adaptation.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| Learning-Based Bias Correction for Time Difference of Arrival Ultra-Wideband Localization of Resource-Constrained Mobile Robots.
|
IEEE Robotics and Automation Letters | 2021 | 11 |
| Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning.
|
RSS | 2021 | 15 |
| Meta Learning With Paired Forward and Inverse Models for Efficient Receding Horizon Control.
|
IEEE Robotics and Automation Letters | 2021 | 2 |
| Online Spatio-temporal Calibration of Tightly-coupled Ultrawideband-aided Inertial Localization.
|
IROS | 2021 | 5 |
| Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control.
|
IROS | 2021 | 0 |
| Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation?
|
IEEE Robotics and Automation Letters | 2021 | 0 |
| Context-aware Cost Shaping to Reduce the Impact of Model Error in Receding Horizon Control.
|
ICRA | 2020 | 4 |
| Variational Inference With Parameter Learning Applied to Vehicle Trajectory Estimation.
|
IEEE Robotics and Automation Letters | 2020 | 9 |
| A Data-Driven Motion Prior for Continuous-Time Trajectory Estimation on SE(3).
|
IEEE Robotics and Automation Letters | 2020 | 9 |
| Deep neural networks as add-on modules for enhancing robot performance in impromptu trajectory tracking.
|
IJRR | 2020 | 3 |
| Estimating and reacting to forces and torques resulting from common aerodynamic disturbances acting on quadrotors.
|
Robotics and Autonomous Systems | 2020 | 16 |
| Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning.
|
IROS | 2020 | 8 |
| Visual Localization with Google Earth Images for Robust Global Pose Estimation of UAVs.
|
ICRA | 2020 | 21 |
| Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots.
|
ICRA | 2020 | 10 |
| Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning.
|
IEEE Robotics and Automation Letters | 2020 | 0 |
| No-Regret Bayesian Optimization with Unknown Hyperparameters.
|
JMLR | 2019 | 37 |
| Building a Winning Self-Driving Car in Six Months.
|
ICRA | 2019 | 0 |
| Fast and In Sync: Periodic Swarm Patterns for Quadrotors.
|
ICRA | 2019 | 0 |
| There's No Place Like Home: Visual Teach and Repeat for Emergency Return of Multirotor UAVs During GPS Failure.
|
IEEE Robotics and Automation Letters | 2019 | 0 |
| Learn Fast, Forget Slow: Safe Predictive Learning Control for Systems With Unknown and Changing Dynamics Performing Repetitive Tasks.
|
IEEE Robotics and Automation Letters | 2019 | 0 |
| Trajectory Generation for Multiagent Point-To-Point Transitions via Distributed Model Predictive Control.
|
IEEE Robotics and Automation Letters | 2019 | 0 |
| Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems.
|
IEEE Robotics and Automation Letters | 2019 | 0 |
| Distributed iterative learning control for multi-agent systems - Theoretic developments and application to formation flying.
|
Autonomous Robots | 2019 | 0 |
| Experience-Based Model Selection to Enable Long-Term, Safe Control for Repetitive Tasks Under Changing Conditions.
|
IROS | 2018 | 14 |
| Flatness-Based Model Predictive Control for Quadrotor Trajectory Tracking.
|
IROS | 2018 | 21 |
| Level-Headed: Evaluating Gimbal-Stabilised Visual Teach and Repeat for Improved Localisation Performance.
|
ICRA | 2018 | 6 |
| Adaptive Model Predictive Control for High-Accuracy Trajectory Tracking in Changing Conditions.
|
IROS | 2018 | 30 |
| An Inversion-Based Learning Approach for Improving Impromptu Trajectory Tracking of Robots With Non-Minimum Phase Dynamics.
|
IEEE Robotics and Automation Letters | 2018 | 0 |
| Data-Efficient Multirobot, Multitask Transfer Learning for Trajectory Tracking.
|
IEEE Robotics and Automation Letters | 2018 | 0 |
| A framework for multi-vehicle navigation using feedback-based motion primitives.
|
IROS | 2017 | 7 |
| Learning multimodal models for robot dynamics online with a mixture of Gaussian process experts.
|
ICRA | 2017 | 18 |
| High-precision trajectory tracking in changing environments through L1 adaptive feedback and iterative learning.
|
ICRA | 2017 | 17 |
| Safe Model-based Reinforcement Learning with Stability Guarantees.
|
NIPS/NeurIPS | 2017 | 609 |
| Multi-robot transfer learning: A dynamical system perspective.
|
IROS | 2017 | 34 |
| Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization.
|
ICRA | 2017 | 91 |
| Deep neural networks for improved, impromptu trajectory tracking of quadrotors.
|
ICRA | 2017 | 0 |
| Unscented external force and torque estimation for quadrotors.
|
IROS | 2016 | 24 |
| Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking.
|
IJRR | 2016 | 152 |
| Safe and robust robot maneuvers based on reach control.
|
ICRA | 2016 | 8 |
| Safe controller optimization for quadrotors with Gaussian processes.
|
ICRA | 2016 | 0 |
| An upper bound on the error of alignment-based Transfer Learning between two linear, time-invariant, scalar systems.
|
IROS | 2015 | 7 |
| Conservative to confident: Treating uncertainty robustly within Learning-Based Control.
|
ICRA | 2015 | 16 |
| Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments.
|
ICRA | 2014 | 178 |
| Visual teach and repeat, repeat, repeat: Iterative Learning Control to improve mobile robot path tracking in challenging outdoor environments.
|
IROS | 2013 | 51 |
| Optimization-based iterative learning for precise quadrocopter trajectory tracking.
|
Autonomous Robots | 2012 | 151 |
| Iterative learning of feed-forward corrections for high-performance tracking.
|
IROS | 2012 | 46 |
| Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach.
|
IROS | 2012 | 261 |
| The Flying Machine Arena as of 2010.
|
ICRA | 2011 | 59 |
| A simple learning strategy for high-speed quadrocopter multi-flips.
|
ICRA | 2010 | 378 |
| Synchronizing the motion of a quadrocopter to music.
|
ICRA | 2010 | 55 |