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Forrest Laine

12 papers hereh-index 9409 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author6
  • middle author4
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • eess.SY4
  • cs.RO3
  • math.OC3
  • cs.GT1
  • cs.LG1
same name
  • Forrest Laine — 10 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedThe Computation of Approximate Generalized Feedback Nash Equilibria

34 citations · 39 across the 10 of their papers we have counts for

collaborators
Showing eess.SYShow all

4 papers · 1 filter

eess.SY2021

Incorporating Data Uncertainty in Object Tracking Algorithms

Anish Muthali, Forrest Laine, Claire Tomlin

Methodologies for incorporating the uncertainties characteristic of data-driven object detectors into object tracking algorithms are explored. Object tracking methods rely on measu…

eess.SY2020★ 1 cited

Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability

Forrest Laine, Chiu-Yuan Chiu, Claire Tomlin

A framework is presented for handling a potential loss of observability of a dynamical system in a provably-safe way. Inspired by the fragility of data-driven perception systems us…

eess.SY2018★ 2 cited

Efficient Computation of Feedback Control for Constrained Systems

Forrest Laine, Claire Tomlin

A method is presented for solving the discrete-time finite-horizon Linear Quadratic Regulator (LQR) problem subject to auxiliary linear equality constraints, such as fixed end-poin…

eess.SY2016

Learning Quadrotor Dynamics Using Neural Network for Flight Control

Somil Bansal, Anayo K. Akametalu, Frank J. Jiang +2

Traditional learning approaches proposed for controlling quadrotors or helicopters have focused on improving performance for specific trajectories by iteratively improving upon a n…

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