Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Damion D. Dunlap"'
Autor:
Damion D. Dunlap, Joshua N. Weaver
Publikováno v:
OCEANS 2016 MTS/IEEE Monterey.
As part of The Technical Cooperation Program (TTCP), a series of trials has been held over the past three years to focus on collaboration in the unmanned maritime systems environment between the following nations: Australia (AS), Canada (CA), New Zea
Publikováno v:
Robotics and Autonomous Systems. 56:645-657
Robot Navigation in unknown and very cluttered environments constitutes one of the key challenges in unmanned ground vehicle (UGV) applications. Navigational limit cycles can occur when navigating (UGVs) using behavior-based or other reactive algorit
Publikováno v:
Robotics and Autonomous Systems. 56:231-246
One of the key challenges in application of Autonomous Ground Vehicles (AGVs) is navigation in environments that are densely cluttered with obstacles. The control task becomes more complex when the configuration of obstacles is not known a priori. Th
Publikováno v:
Experimental Robotics ISBN: 9783319000640
ISER
ISER
This paper presents a methodology for computationally efficient, direct trajectory generation using sampling with the minimum time cost function, where only the initial and final positions and velocities of the trajectory are specified. The approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b52e5d4126c542c0b11257ea0d927f59
https://doi.org/10.1007/978-3-319-00065-7_44
https://doi.org/10.1007/978-3-319-00065-7_44
Publikováno v:
ICRA
The motors or engines of an autonomous ground vehicles (AGV) have torque and power limitations, which limit their abilities to climb steep hills, which are defined to be hills that have high grade sections in which the vehicle is forced to decelerate
Publikováno v:
CCA
In this paper a novel method called Sampling-Based Model Predictive Control (SBMPC) is proposed as an efficient MPC algorithm to generate control inputs and system trajectories. The algorithm combines the benefits of sampling-based motion planning wi
Publikováno v:
OCEANS 2010 MTS/IEEE SEATTLE.
Unmanned Underwater Vehicles (UUVs) can be utilized to perform difficult tasks in cluttered environments such as harbor and port protection. However, since UUVs have nonlinear and highly coupled dynamics, motion planning and control can be difficult
Publikováno v:
CTS
This paper addresses the issue of how high-speed robots may move among humans such that the robots complete their tasks efficiently while the humans in the environment feel safe and comfortable. It describes the Segway robotic platform used for this
Publikováno v:
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 37(6)
Autonomous navigation systems for mobile robots have been successfully deployed for a wide range of planar ground-based tasks. However, very few counterparts of previous planar navigation systems were developed for 3-D motion, which is needed for bot
Publikováno v:
CIRA
The navigation of autonomous ground vehicles (AGVs) through uncertain environments has received substantial research attention. However, the literature contains very few comparisons of the navigation paradigms for AGVs, especially for algorithms usin