2018
DOI: 10.1007/s42423-018-0007-3
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Initial Design Characteristics, Testing and Performance Optimisation for a Lunar Exploration Micro-Rover Prototype

Abstract: In the field of space and planetary missions, the use of robotic systems for exploration tasks has become quite common. The recent emergence of private ventures will increase the number of missions in the upcoming years, but the budget for each one of them will have to be considerably lower than that of government-based projects. With celestial bodies the size of the moon, sending a single rover has become inefficient for full-surface exploration, mapping and resource prospecting. To achieve these objectives, … Show more

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Cited by 5 publications
(1 citation statement)
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“…In other words, they determine the locomotion configuration of the robot. Zhang et al [ 20 ] summarize some kinematic and dynamic models of different well-known configurations: Differential drive [ 32 ] (see Koguma robot [ 33 ] in Figure 3 a as an example and the depiction of the model in Figure 4 a), Ackermann steering [ 34 ] (see Figure 4 b,d), Skid steering [ 35 ] (see Figure 4 c) and Omnidirectional [ 36 ]. Some of them entail constraints relevant to path planning, such as the minimum turning radius of robots with Front Ackermann steering [ 37 ] (see Figure 4 b) or the high energy consumption of Skid-steering robots in turning manoeuvres [ 38 ].…”
Section: Path Planning Algorithmsmentioning
confidence: 99%
“…In other words, they determine the locomotion configuration of the robot. Zhang et al [ 20 ] summarize some kinematic and dynamic models of different well-known configurations: Differential drive [ 32 ] (see Koguma robot [ 33 ] in Figure 3 a as an example and the depiction of the model in Figure 4 a), Ackermann steering [ 34 ] (see Figure 4 b,d), Skid steering [ 35 ] (see Figure 4 c) and Omnidirectional [ 36 ]. Some of them entail constraints relevant to path planning, such as the minimum turning radius of robots with Front Ackermann steering [ 37 ] (see Figure 4 b) or the high energy consumption of Skid-steering robots in turning manoeuvres [ 38 ].…”
Section: Path Planning Algorithmsmentioning
confidence: 99%