Christopher Iliffe Sprague
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Machine learning and evolutionary techniques in interplanetary trajectory design
D Izzo, CI Sprague, DV Tailor
Modeling and Optimization in Space Engineering: State of the Art and New†…, 2019
Improving the modularity of auv control systems using behaviour trees
CI Sprague, ÷ ÷zkahraman, A Munafo, R Marlow, A Phillips, P ÷gren
2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 1-6, 2018
Adding neural network controllers to behavior trees without destroying performance guarantees
CI Sprague, P ÷gren
2022 IEEE 61st Conference on Decision and Control (CDC), 3989-3996, 2022
PointNetKL: Deep inference for GICP covariance estimation in bathymetric SLAM
I Torroba, CI Sprague, N Bore, J Folkesson
IEEE Robotics and Automation Letters 5 (3), 4078-4085, 2020
A cyber-physical system for hydrobatic auvs: system integration and field demonstration
S Bhat, I Torroba, ÷ ÷zkahraman, N Bore, CI Sprague, Y Xie, I Stenius, ...
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 1-8, 2020
Learning dynamic-objective policies from a class of optimal trajectories
CI Sprague, D Izzo, P ÷gren
2020 59th IEEE Conference on Decision and Control (CDC), 597-602, 2020
A system for autonomous seaweed farm inspection with an underwater robot
I Stenius, J Folkesson, S Bhat, CI Sprague, L Ling, ÷ ÷zkahraman, N Bore, ...
Sensors 22 (13), 5064, 2022
Continuous-time behavior trees as discontinuous dynamical systems
CI Sprague, P ÷gren
IEEE Control Systems Letters 6, 1891-1896, 2021
Fully-probabilistic terrain modelling and localization with stochastic variational gaussian process maps
I Torroba, CI Sprague, J Folkesson
IEEE Robotics and Automation Letters 7 (4), 8729-8736, 2022
Modelling and Simulation of Autonomous CubeSats for Orbital Debris Mitigation
CI Sprague
6th International Conference on Astrodynamics Tools and Techniques, 2016
Learning how to learn bathymetry
CI Sprague, P ÷gren
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 1-2, 2020
Autonomous Repair of Optical Character Recognition Data through Simple Voting and Multi-Dimensional Indexing Techniques
C Sprague
Behavior Trees in Robot Control Systems
P ÷gren, CI Sprague
Annual Review of Control, Robotics, and Autonomous Systems 5, 81-107, 2022
Efficient and Trustworthy Artificial Intelligence for Critical Robotic Systems
C Sprague
Kungliga Tekniska hŲgskolan, 2022
An Extended Convergence Result for Behavior Tree Controllers
C Sprague, P ÷gren
Towards intelligent trajectory optimisation in astrodynamics
CI Sprague
Rensselaer Polytechnic Institute, 2017
Deep-Learning-Based Compliant Motion Control of a Pneumatically-Driven Robotic Catheter................. D. Wu, XT Ha, Y. Zhang, M. Ourak, G. Borghesan, K. Niu, F. Trauzettel†…
I Torroba, CI Sprague, J Folkesson, Z Wang, FC Ojeda, A Bisulco, D Lee, ...
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