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 …
of visual guidance of actions by highlighting the importance of behavioral goals and …
CasADi: a software framework for nonlinear optimization and optimal control
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 …
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 …
landmark cues into an internal sense of location and direction, concurrently planning future …
A theory of learning to infer.
Bayesian theories of cognition assume that people can integrate probabilities rationally.
However, several empirical findings contradict this proposition: human probabilistic …
However, several empirical findings contradict this proposition: human probabilistic …
Interoception as modeling, allostasis as control
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 …
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 …
noise have been able to account for a vast array of phenomena in human sensorimotor …
Heuristics from bounded meta-learned inference.
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 …
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
Computational rationality explains human behavior as arising due to the maximization of
expected utility under the constraints imposed by the environment and limited cognitive …
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 …
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 …
the monitoring of sand dune movement. In this research, we focused on modeling sand …