Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Karl, Iagnemma"'
Publikováno v:
Cogent Engineering, Vol 7, Iss 1 (2020)
It is important to further improve the traveling performances of the moon/planetary exploration rovers. To achieve this, we investigated the grouser shape of rigid wheels for use in such rovers, focusing particularly on rectangular and trapezoidal gr
Externí odkaz:
https://doaj.org/article/bb263164aeca476585ed4c97699282dd
Publikováno v:
Autonomous Robots. 43:1977-1988
This paper shows the performance of various traction control strategies that aim to minimize slippage and wheel fighting by properly adjusting the velocity of each traction wheel in a planetary rover. These strategies are validated through simulation
Publikováno v:
IEEE Pervasive Computing. 18:49-58
The aim of this study is to explore user acceptance of semi-autonomous and fully autonomous vehicles on a highway through the use of an interactive simulator. Participants were asked to experience driving modes with three different levels of autonomy
Publikováno v:
Cogent Engineering, Vol 7, Iss 1 (2020)
It is important to further improve the traveling performances of the moon/planetary exploration rovers. To achieve this, we investigated the grouser shape of rigid wheels for use in such rovers, focusing particularly on rectangular and trapezoidal gr
Publikováno v:
Journal of Field Robotics. 36:475-491
Autor:
José E. Andrade, Ivan Vlahinić, Karl Iagnemma, Carmine Senatore, Dan Arthur, Brian P. Trease, Jason P. Marshall, Ryan C. Hurley
Publikováno v:
Journal of the Mechanics and Physics of Solids. 113:1-12
The strength of granular materials, specifically sand is important for understanding physical phenomena on other celestial bodies. However, relatively few experiments have been conducted to determine the dependence of strength properties on gravity.
Autor:
Karl Iagnemma, Ramon Gonzalez
Publikováno v:
Journal of Field Robotics. 35:564-577
Future lunar/planetary exploration missions will demand mobile robots with the capability of reaching more challenging science targets and driving farther per day than the current Mars rovers. Among other improvements, reliable slippage estimation an
Publikováno v:
Journal of Terramechanics. 73:95-106
This paper introduces an unsupervised method for the classification of discrete rovers’ slip events based on proprioceptive signals. In particular, the method is able to automatically discover and track various degrees of slip (i.e. low slip, moder
Publikováno v:
Journal of Field Robotics. 35:231-247
This paper presents a new methodology where machine learning is used for detecting various levels of slip in the context of planetary exploration robotic missions. This methodology aims at employing proprioceptive rover sensor signals. Consequently,
Publikováno v:
Journal of Terramechanics. 70:35-48
This paper describes an initial investigation that shows the major impact that moisture and vegetation produce on a soil and how that effect may be measured using a thermal camera. In particular, those two variables influence how the soil compacts an