Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors.
|
ICRA |
2024 |
0 |
AMSwarmX: Safe Swarm Coordination in CompleX Environments via Implicit Non-Convex Decomposition of the Obstacle-Free Space.
|
ICRA |
2024 |
0 |
Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments.
|
ICRA |
2024 |
0 |
Control-Barrier-Aided Teleoperation with Visual-Inertial SLAM for Safe MAV Navigation in Complex Environments.
|
ICRA |
2024 |
0 |
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 |
Force Push: Robust Single-Point Pushing With Force Feedback.
|
IEEE Robotics and Automation Letters |
2024 |
0 |
UTIL: An ultra-wideband time-difference-of-arrival indoor localization dataset.
|
IJRR |
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 |