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Forrest Laine
Forrest Laine
Assistant Professor, Vanderbilt University
Verified email at vanderbilt.edu
Title
Cited by
Cited by
Year
Learning quadrotor dynamics using neural network for flight control
S Bansal, AK Akametalu, FJ Jiang, F Laine, CJ Tomlin
2016 IEEE 55th Conference on Decision and Control (CDC), 4653-4660, 2016
1762016
The Computation of Approximate Generalized Feedback Nash Equilibria
F Laine, D Fridovich-Keil, CY Chiu, C Tomlin
SIAM Journal on Optimization 33 (1), 294-318, 2023
382023
Efficient computation of feedback control for equality-constrained LQR
F Laine, C Tomlin
2019 International Conference on Robotics and Automation (ICRA), 6748-6754, 2019
19*2019
Multi-hypothesis interactions in game-theoretic motion planning
F Laine, D Fridovich-Keil, CY Chiu, C Tomlin
2021 IEEE International Conference on Robotics and Automation (ICRA), 8016-8023, 2021
172021
Parallelizing lqr computation through endpoint-explicit riccati recursion
F Laine, C Tomlin
2019 IEEE 58th Conference on Decision and Control (CDC), 1395-1402, 2019
162019
Ensuring safety for sampled data systems: An efficient algorithm for filtering potentially unsafe input signals
IM Mitchell, J Yeh, FJ Laine, CJ Tomlin
2016 IEEE 55th Conference on Decision and Control (CDC), 7431-7438, 2016
102016
Eyes-closed safety kernels: Safety for autonomous systems under loss of observability
F Laine, CY Chiu, C Tomlin
Proceedings of Robotics: Science and Systems 2020, 2020
92020
Contingency games for multi-agent interaction
L Peters, A Bajcsy, CY Chiu, D Fridovich-Keil, F Laine, L Ferranti, ...
IEEE Robotics and Automation Letters, 2024
62024
Learning mixed strategies in trajectory games
L Peters, D Fridovich-Keil, L Ferranti, C Stachniss, J Alonso-Mora, F Laine
Proceedings of Robotics: Science and Systems 2022, 2022
32022
Real-time Funnel Generation for Restricted Motion Planning
H Ravanbakhsh, F Laine, SA Seshia
arXiv preprint arXiv:1911.01532, 2019
32019
Progress and proposals: A case study of monocular depth estimation
K Sarwari, F Laine, C Tomlin
Master’s thesis, EECS Department, University of California, Berkeley 3 (7), 2021
22021
Incorporating Data Uncertainty in Object Tracking Algorithms
A Muthali, F Laine, C Tomlin
arXiv preprint arXiv:2109.10521, 2021
12021
Does bilevel optimization result in more competitive racing behavior?
A Cinar, F Laine
arXiv preprint arXiv:2402.09548, 2024
2024
Monte Carlo Optimization for Solving Multilevel Stackelberg Games
P Koirala, F Laine
arXiv preprint arXiv:2312.03282, 2023
2023
A trainable manifold for accurate approximation with ReLU Networks
M Milkert, F Laine
arXiv preprint arXiv:2311.18022, 2023
2023
QTOS: An Open-Source Quadruped Trajectory Optimization Stack
A Skoutnev, A Cinar, P Sigdel, F Laine
arXiv preprint arXiv:2309.09058, 2023
2023
Connected Quadratic Programs for Autonomy
F Laine
2021
EE291E/ME 290Q Lecture Notes 8. Optimal Control and Dynamic Games
SS Sastry, F Laine, C Tomlin
2021
Optimal control and the linear quadratic regulator
S Sastry, F Laine, C Tomlin
2021
Testing for Typicality with Respect to an Ensemble of Learned Distributions
F Laine, C Tomlin
arXiv preprint arXiv:2011.06041, 2020
2020
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