Vision and action

MM Hayhoe - Annual review of vision science, 2017 - annualreviews.org
Investigation of natural behavior has contributed a number of insights to our understanding
of visual guidance of actions by highlighting the importance of behavioral goals and …

CasADi: a software framework for nonlinear optimization and optimal control

JAE Andersson, J Gillis, G Horn, JB Rawlings… - Mathematical …, 2019 - Springer
We present CasADi, an open-source software framework for numerical optimization. CasADi
is a general-purpose tool that can be used to model and solve optimization problems with a …

Human navigation strategies and their errors result from dynamic interactions of spatial uncertainties

F Kessler, J Frankenstein, CA Rothkopf - Nature Communications, 2024 - nature.com
Goal-directed navigation requires continuously integrating uncertain self-motion and
landmark cues into an internal sense of location and direction, concurrently planning future …

A theory of learning to infer.

I Dasgupta, E Schulz, JB Tenenbaum… - Psychological …, 2020 - psycnet.apa.org
Bayesian theories of cognition assume that people can integrate probabilities rationally.
However, several empirical findings contradict this proposition: human probabilistic …

Interoception as modeling, allostasis as control

E Sennesh, J Theriault, D Brooks, JW van de Meent… - Biological …, 2022 - Elsevier
The brain regulates the body by anticipating its needs and attempting to meet them before
they arise–a process called allostasis. Allostasis requires a model of the changing sensory …

Inverse optimal control adapted to the noise characteristics of the human sensorimotor system

M Schultheis, D Straub… - Advances in Neural …, 2021 - proceedings.neurips.cc
Computational level explanations based on optimal feedback control with signal-dependent
noise have been able to account for a vast array of phenomena in human sensorimotor …

Heuristics from bounded meta-learned inference.

M Binz, SJ Gershman, E Schulz, D Endres - Psychological review, 2022 - psycnet.apa.org
Numerous researchers have put forward heuristics as models of human decision-making.
However, where such heuristics come from is still a topic of ongoing debate. In this work, we …

A workflow for building computationally rational models of human behavior

S Chandramouli, D Shi, A Putkonen… - Computational Brain & …, 2024 - Springer
Computational rationality explains human behavior as arising due to the maximization of
expected utility under the constraints imposed by the environment and limited cognitive …

Model predictive control with a visuomotor system for physics-based character animation

H Eom, D Han, JS Shin, J Noh - ACM Transactions on Graphics (TOG), 2019 - dl.acm.org
This article presents a Model Predictive Control framework with a visuomotor system that
synthesizes eye and head movements coupled with physics-based full-body motions while …

Develop of a machine learning model to evaluate the hazards of sand dunes

HA Megahed, AEHA Farrag, HM GabAllah… - Earth Science …, 2024 - Springer
Accurate mapping plays a crucial role in the management of natural hazards, particularly in
the monitoring of sand dune movement. In this research, we focused on modeling sand …