2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) 2018
DOI: 10.1109/apwconcse.2018.00051
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Navigation of Car-Like Robots in Three-Dimensional Space

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Cited by 17 publications
(19 citation statements)
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“…As it is shown in Table 2, the three robots have three degrees of freedom, named as x, y and ψ, which apply to rotation and translation of the robot in the plane, considering only planar terrains. In the case of the unicycle robot, it can turn around its control point [42]; however, the car-like model has to follow a circle based path [43], making it impossible to turn without displacing [44]. On the other hand, the omnidirectional vehicle can displace at any direction in the plane.…”
Section: Mobile Robotmentioning
confidence: 99%
“…As it is shown in Table 2, the three robots have three degrees of freedom, named as x, y and ψ, which apply to rotation and translation of the robot in the plane, considering only planar terrains. In the case of the unicycle robot, it can turn around its control point [42]; however, the car-like model has to follow a circle based path [43], making it impossible to turn without displacing [44]. On the other hand, the omnidirectional vehicle can displace at any direction in the plane.…”
Section: Mobile Robotmentioning
confidence: 99%
“…A study by [9] claimed that both education and human life do not effectively function without the knowledge of mathematics. In formal education, mathematics forms the basis of many of the sciences such as physics, chemistry, biology, engineering, and IT disciplines as well as the nonscience disciplines such as accounting, economics, geography, and even physical education, music, and art [1,4,6,7,[10][11][12][13][14][15]. It is one of the most important subjects in the school curriculum, which acts as a bridge for all knowledge [3].…”
Section: Introductionmentioning
confidence: 99%
“…9,12 Multi-agent robotic systems are more favored in accomplishing specific control objectives as a direct consequence of their effectiveness with the coupling of inherent constraints and restrictions, robustness, flexibility, redundancy, their wide-ranging capabilities, and the abundance of real-world applications compared to a single agent. 9,[17][18][19] The fundamental problem in the motion planning and control of such cooperative systems is finding a collision-free trajectory in environment cluttered with static and dynamic obstacles. The environment is either known or unknown to the cooperative system, hence the control mechanism for safe navigation among obstacles is a problem that still represents a real challenge.…”
Section: Introductionmentioning
confidence: 99%