Christopher Iliffe Sprague

According to our database, Christopher Iliffe Sprague authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stable Autonomous Flow Matching.

Christopher Iliffe Sprague, Arne Elofsson, Hossein Azizpour

CoRR, 2024

2023

An Extended Convergence Result for Behaviour Tree Controllers.

Christopher Iliffe Sprague, Petter Ögren

CoRR, 2023

2022

Efficient and Trustworthy Artificial Intelligence for Critical Robotic Systems.

Christopher Iliffe Sprague

PhD thesis, 2022

A System for Autonomous Seaweed Farm Inspection with an Underwater Robot.

Ivan Stenius, John Folkesson, Sriharsha Vishnu Bhat, Christopher Iliffe Sprague, Li Ling, Özer Özkahraman, Nils Bore, Cong Zheng, Josefine Severholt, Carl Ljung, Anna Arnwald, Ignacio Torroba, Fredrik Gröndahl, Jean-Baptiste Thomas

Sensors, 2022

Fully-Probabilistic Terrain Modelling and Localization With Stochastic Variational Gaussian Process Maps.

Ignacio Torroba, Christopher Iliffe Sprague, John Folkesson

IEEE Robotics Autom. Lett., 2022

Continuous-Time Behavior Trees as Discontinuous Dynamical Systems.

Christopher Iliffe Sprague, Petter Ögren

IEEE Control. Syst. Lett., 2022

Fully-probabilistic Terrain Modelling with Stochastic Variational Gaussian Process Maps.

Ignacio Torroba, Christopher Iliffe Sprague, John Folkesson

CoRR, 2022

Behavior Trees in Robot Control Systems.

Petter Ögren, Christopher Iliffe Sprague

Annu. Rev. Control. Robotics Auton. Syst., 2022

Adding Neural Network Controllers to Behavior Trees without Destroying Performance Guarantees.

Christopher Iliffe Sprague, Petter Ögren

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2020

PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM.

Ignacio Torroba, Christopher Iliffe Sprague, Nils Bore, John Folkesson

IEEE Robotics Autom. Lett., 2020

Learning Dynamic-Objective Policies from a Class of Optimal Trajectories.

Christopher Iliffe Sprague, Dario Izzo, Petter Ögren

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Learning a Family of Optimal State Feedback Controllers.

Christopher Iliffe Sprague, Dario Izzo, Petter Ögren

CoRR, 2019

2018

Improving the Modularity of AUV Control Systems using Behaviour Trees.

Christopher Iliffe Sprague, Özer Özkahraman, Andrea Munafò, Rachel Marlow, Alexander B. Phillips, Petter Ögren

CoRR, 2018

Machine learning and evolutionary techniques in interplanetary trajectory design.

Dario Izzo, Christopher Iliffe Sprague, Dharmesh Tailor

CoRR, 2018