In this article, an optimal mountain ascent is studied as a particular problemof a human walking over a rugged terrain. First, an approximation of the terrain is constructed using particular smooth splines-macro-elements. Then a functional measuring the energy consumption along boundary curves of a macro-element is defined. Finally, the corresponding discrete problem of finding the optimal path on a mesh of curves is applied. Numerical results on real-life data indicate that computed paths are a good approximation of hiking paths in nature
A mathematical model to predict the optimum gradient for a minimum energetic cost is proposed, based...
Humans evolved to be endurance animals. Our ancestors were persistence hunters; they would chase ani...
A mathematical model to predict the optimum gradient for a minimum energetic cost is proposed, consi...
By combining the experiment results of R. Margaria (Atti Accad. Naz. Lincei Memorie 7: 299-368, 1938...
EnThe shortest line connecting a point at the base of a mountain with the top is a geodesic on the s...
Motions of mobile robots need to be optimized to minimize their energy consumption to ensure long pe...
Many equations in the applied sciences can be realized as critical points of a function. For example...
Human and animal trails on steep hillsides often exhibit dramatic switchbacks and shortcuts. Helbing...
We present a method for determining optimal walking paths in steep terrain using the level set metho...
Climbing is an interesting form of quadrupedal locomotion on vertical substrates, and also a popular...
Finding optimal paths in non-homogeneous terrains is a class of problem that presents itself in many...
The aim of this study is to describe the effects of speed and gradient during uphill ski mountaineer...
Climbing is an interesting form of quadrupedal locomotion on vertical substrates, and also a popular...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Maximal absolute speeds in human locomotion range from a minimum of about 7km?h-1 in swimming (100m ...
A mathematical model to predict the optimum gradient for a minimum energetic cost is proposed, based...
Humans evolved to be endurance animals. Our ancestors were persistence hunters; they would chase ani...
A mathematical model to predict the optimum gradient for a minimum energetic cost is proposed, consi...
By combining the experiment results of R. Margaria (Atti Accad. Naz. Lincei Memorie 7: 299-368, 1938...
EnThe shortest line connecting a point at the base of a mountain with the top is a geodesic on the s...
Motions of mobile robots need to be optimized to minimize their energy consumption to ensure long pe...
Many equations in the applied sciences can be realized as critical points of a function. For example...
Human and animal trails on steep hillsides often exhibit dramatic switchbacks and shortcuts. Helbing...
We present a method for determining optimal walking paths in steep terrain using the level set metho...
Climbing is an interesting form of quadrupedal locomotion on vertical substrates, and also a popular...
Finding optimal paths in non-homogeneous terrains is a class of problem that presents itself in many...
The aim of this study is to describe the effects of speed and gradient during uphill ski mountaineer...
Climbing is an interesting form of quadrupedal locomotion on vertical substrates, and also a popular...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Maximal absolute speeds in human locomotion range from a minimum of about 7km?h-1 in swimming (100m ...
A mathematical model to predict the optimum gradient for a minimum energetic cost is proposed, based...
Humans evolved to be endurance animals. Our ancestors were persistence hunters; they would chase ani...
A mathematical model to predict the optimum gradient for a minimum energetic cost is proposed, consi...