
Noregret Bayesian Optimization with Unknown Hyperparameters
Bayesian optimization (BO) based on Gaussian process models is a powerfu...
read it

Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors
Trajectory tracking control for quadrotors is important for applications...
read it

Safe Modelbased Reinforcement Learning with Stability Guarantees
Reinforcement learning is a powerful paradigm for learning optimal polic...
read it

A realtime analysis of rock fragmentation using UAV technology
Accurate measurement of blastinduced rock fragmentation is of great imp...
read it

Model Predictive PathFollowing for Constrained Differentially Flat Systems
For many tasks, predictive pathfollowing control can significantly impr...
read it

Experience Recommendation for Long Term Safe Learningbased Model Predictive Control in Changing Operating Conditions
Learning has propelled the cutting edge of performance in robotic contro...
read it

Provably Robust LearningBased Approach for HighAccuracy Tracking Control of Lagrangian Systems
Inverse dynamics control and feedforward linearization techniques are ty...
read it

Learning of Coordination Policies for Robotic Swarms
Inspired by biological swarms, robotic swarms are envisioned to solve re...
read it

Transfer Learning for HighPrecision Trajectory Tracking Through L_1 Adaptive Feedback and Iterative Learning
Robust and adaptive control strategies are needed when robots or automat...
read it

There's No Place Like Home: Visual Teach and Repeat for Emergency Return of Multirotor UAVs During GPS Failure
Redundant navigation systems are critical for safe operation of UAVs in ...
read it

Learn Fast, Forget Slow: Safe Predictive Learning Control for Systems with Unknown, Changing Dynamics Performing Repetitive Tasks
We present a control method for improved repetitive path following for a...
read it

EstimationBased Model Predictive Control for Automatic Crosswind Stabilization of Hybrid Aerial Vehicles
In this paper, we study the control design of an automatic crosswind sta...
read it

Fast and In Sync: Periodic Swarm Patterns for Quadrotors
This paper aims to design quadrotor swarm performances, where the swarm ...
read it

Building a Winning SelfDriving Car in Six Months
The SAE AutoDrive Challenge is a threeyear competition to develop a Lev...
read it

Trajectory Generation for Multiagent PointToPoint Transitions via Distributed Model Predictive Control
This paper introduces a novel algorithm for multiagent offline trajector...
read it

Knowledge Transfer Between Robots with Similar Dynamics for HighAccuracy Impromptu Trajectory Tracking
In this paper, we propose an online learning approach that enables the i...
read it

A Modular Framework for Motion Planning using SafebyDesign Motion Primitives
We present a modular framework for solving a motion planning problem amo...
read it

aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
The University of Toronto is one of eight teams competing in the SAE Aut...
read it

Trajectory Tracking for Quadrotors with Attitude Control on S^2 ×S^1
The control of a quadrotor is typically split into two subsequent proble...
read it

Hierarchically Consistent Motion Primitives for Quadrotor Coordination
We present a hierarchical framework for motion planning of a large colle...
read it

Online Trajectory Generation with Distributed Model Predictive Control for MultiRobot Motion Planning
We present a distributed model predictive control (DMPC) algorithm to ge...
read it

An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants
Deep neural networks (DNNs) have emerged as a popular mathematical tool ...
read it
Angela P. Schoellig
is this you? claim profile