Optimality of Upper-Arm Reaching Trajectories Based on the Expected Value of the Metabolic Energy Cost | Citedby Results | Neural Computation | MIT Press

Skip to Main Content

Skip Nav Destination

Optimality of Upper-Arm Reaching Trajectories Based on the Expected Value of the Metabolic Energy Cost

Neural Computation (2015) 27 (8): 1721–1737.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Analysis of Force Characteristics in Foot Operations Using Isometric Device

Yang Li
Rintaro Iio
Shoun Nishioka
Tatsuro Terakawa
Masaharu Komori

IEEE Access (2025) 13: 71197.

Optimal Feedback Control for the Proportion of Energy Cost in the Upper-Arm Reaching Movement

Yoshiaki Taniai

Neural Computation (2023) 35 (11): 1870.

Optimal reaching trajectories based on feedforward control

Yoshiaki Taniai
Tomohide Naniwa
Jun Nishii

Biological Cybernetics (2022) 116 (4): 517.

Human Prediction of Robot’s Intention in Object Handling Tasks

Teerachart Soratana
X. Jessie Yang
Yili Liu

Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2021) 65 (1): 1190.

Changes of Mind after Movement Onset Depend on the State of the Motor System

Ignasi Cos
Giovanni Pezzulo
Paul Cisek

eneuro (2021) 8 (6): ENEURO.0174-21.2021.

Motor cost affects the decision of when to shift gaze for guiding movement

F. Javier Domínguez-Zamora
Daniel S. Marigold

Journal of Neurophysiology (2019) 122 (1): 378.

A recurrent neural network model for generation of humanlike reaching movements

Yuta Tsuzuki
Naomichi Ogihara

Advanced Robotics (2018) 32 (15): 837.

What makes a reach movement effortful? Physical effort discounting supports common minimization principles in decision making and motor control

Pierre Morel
Philipp Ulbrich
Alexander Gail
Matthew Rushworth

PLOS Biology (2017) 15 (6): e2001323.