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ORCIDForrest Laine
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2020 – today
- 2024
[j4]Lasse Peters
, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora:
Contingency Games for Multi-Agent Interaction. IEEE Robotics Autom. Lett. 9(3): 2208-2215 (2024)- [j3]Klaus Bengler, Werner Damm, Andreas Lüdtke, Jochem W. Rieger, Benedikt Austel, Bianca Biebl, Martin Fränzle, Willem Hagemann, Moritz Held, David Hess, Klas Ihme, Severin Kacianka, Alyssa J. Kerscher, Forrest Laine, Sebastian Lehnhoff, Alexander Pretschner, Astrid Rakow, Daniel Sonntag, Janos Sztipanovits, Maike Schwammberger, Mark Schweda, Anirudh Unni, Eric M. S. P. Veith:
A References Architecture for Human Cyber Physical Systems, Part II: Fundamental Design Principles for Human-CPS Interaction. ACM Trans. Cyber Phys. Syst. 8(1): 3:1-3:27 (2024) - [j2]Werner Damm, Martin Fränzle, Alyssa J. Kerscher, Forrest Laine, Klaus Bengler, Bianca Biebl, Willem Hagemann, Moritz Held, David Hess, Klas Ihme, Severin Kacianka, Sebastian Lehnhoff, Andreas Lüdtke, Alexander Pretschner, Astrid Rakow, Jochem W. Rieger, Daniel Sonntag, Janos Sztipanovits, Maike Schwammberger, Mark Schweda, Alexander Trende, Anirudh Unni, Eric M. S. P. Veith:
A Reference Architecture of Human Cyber-Physical Systems - Part III: Semantic Foundations. ACM Trans. Cyber Phys. Syst. 8(1): 4:1-4:23 (2024) - [i18]Andrew Cinar, Forrest Laine:
Does bilevel optimization result in more competitive racing behavior? CoRR abs/2402.09548 (2024) - [i17]Mel Krusniak, Forrest Laine:
Mixed Strategy Constraints in Continuous Games. CoRR abs/2402.17874 (2024) - [i16]Pravesh Koirala, Forrest Laine:
Decreasing Wages in Gig Economy: A Game Theoretic Explanation Using Mathematical Program Networks. CoRR abs/2404.10929 (2024) - [i15]Pravesh Koirala, Forrest Laine:
Algorithmic collusion in a two-sided market: A rideshare example. CoRR abs/2405.02835 (2024) - 2023
- [j1]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. SIAM J. Optim. 33(1): 294-318 (2023) - [i14]Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora:
Contingency Games for Multi-Agent Interaction. CoRR abs/2304.05483 (2023) - [i13]Alexy Skoutnev, Andrew Cinar, Praful Sigdel, Forrest Laine:
QTOS: An Open-Source Quadruped Trajectory Optimization Stack. CoRR abs/2309.09058 (2023) - [i12]Max Milkert, Forrest Laine:
A trainable manifold for accurate approximation with ReLU Networks. CoRR abs/2311.18022 (2023) - [i11]Pravesh Koirala, Forrest Laine:
Monte Carlo Optimization for Solving Multilevel Stackelberg Games. CoRR abs/2312.03282 (2023) - 2022
- [c7]Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine:
Learning Mixed Strategies in Trajectory Games. Robotics: Science and Systems 2022 - [i10]Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine:
Learning Mixed Strategies in Trajectory Games. CoRR abs/2205.00291 (2022) - 2021
- [b1]Forrest Laine:
Connected Quadratic Programs for Autonomy. University of California, Berkeley, USA, 2021 - [c6]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. ICRA 2021: 8016-8023 - [i9]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. CoRR abs/2101.02900 (2021) - [i8]Anish Muthali, Forrest Laine, Claire J. Tomlin:
Incorporating Data Uncertainty in Object Tracking Algorithms. CoRR abs/2109.10521 (2021) - 2020
- [c5]Forrest Laine, Chih-Yuan Chiu, Claire J. Tomlin:
Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability. Robotics: Science and Systems 2020 - [i7]Forrest Laine, Chih-Yuan Chiu, Claire J. Tomlin:
Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability. CoRR abs/2005.07144 (2020) - [i6]Forrest Laine, Claire J. Tomlin:
Testing for Typicality with Respect to an Ensemble of Learned Distributions. CoRR abs/2011.06041 (2020) - [i5]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. CoRR abs/2011.06047 (2020)
2010 – 2019
- 2019
- [c4]Forrest Laine, Claire J. Tomlin:
Parallelizing LQR Computation Through Endpoint-Explicit Riccati Recursion. CDC 2019: 1395-1402 - [c3]Forrest Laine, Claire J. Tomlin:
Efficient Computation of Feedback Control for Equality-Constrained LQR. ICRA 2019: 6748-6754 - [i4]Hadi Ravanbakhsh, Forrest Laine, Sanjit A. Seshia:
Real-time Funnel Generation for Restricted Motion Planning. CoRR abs/1911.01532 (2019) - 2018
- [i3]Forrest Laine, Claire J. Tomlin:
Efficient Computation of Feedback Control for Constrained Systems. CoRR abs/1807.00794 (2018) - [i2]Forrest Laine, Claire J. Tomlin:
The Parallelization of Riccati Recursion. CoRR abs/1809.06360 (2018) - 2016
- [c2]Somil Bansal, Anayo K. Akametalu, Frank J. Jiang, Forrest Laine, Claire J. Tomlin:
Learning quadrotor dynamics using neural network for flight control. CDC 2016: 4653-4660 - [c1]Ian M. Mitchell, Jeffrey Yeh, Forrest J. Laine, Claire J. Tomlin:
Ensuring safety for sampled data systems: An efficient algorithm for filtering potentially unsafe input signals. CDC 2016: 7431-7438 - [i1]Somil Bansal, Anayo K. Akametalu, Frank J. Jiang, Forrest Laine, Claire J. Tomlin:
Learning Quadrotor Dynamics Using Neural Network for Flight Control. CoRR abs/1610.05863 (2016)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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