2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM) 2021
DOI: 10.1109/icarm52023.2021.9536060
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A Wheel-legged Mobile Robot with Adjustable Body Length for Rescue and Search

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Cited by 9 publications
(4 citation statements)
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“…According to (10), the lateral displacement of the robot will be less than 4cm, which is less than tenth of the width of the robot. This shows that the OmniWheg is able to align its wheels with a small space requirement.…”
Section: F Wheel Alignmentmentioning
confidence: 99%
“…According to (10), the lateral displacement of the robot will be less than 4cm, which is less than tenth of the width of the robot. This shows that the OmniWheg is able to align its wheels with a small space requirement.…”
Section: F Wheel Alignmentmentioning
confidence: 99%
“…Robots are increasingly being used for rescue operations to improve work flexibility and expand the range of operations. Over the past decades, different types of rescue robots have been developed, such as snake-shaped search and rescue robots [1][2][3], bionic crawling search and rescue robots [4,5], wheel-footed robots with enhanced obstacle-crossing capabilities [6][7][8], aircraft-based rescue robots [9,10], rope-assisted climbing robots for applications in mountainous environments [11], and deformable robots for water rescue [12]. However, few of these robots have significant excavation and handling capabilities.…”
Section: Introductionmentioning
confidence: 99%
“…Wheeled mobile robots have been widely studied in space exploration, rescue, service, and other industries due to their simple drive mechanism, good adaptability to terrain, and high energy efficiency [1,2]. Because of high precision demand and unknown terrain disturbances such as inconstant slip ratios, the tracking control of wheeled mobile robotic systems (WMRSs) has always been a research hotspot.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, being parameterized NNs with a single weight layer, radial basis function NNs (RBFNNs) are preferred to other NNs for their comprehensive approximation properties [20]. With the assistance of NNs, two commonly near-optimal control methods can be implemented: (1) adaptive dynamic programming (ADP) [21] and (2) reinforcement learning (RL) [22,23]. Based on these studies, two ways have been developed that specifically deal with inequality constraints.…”
Section: Introductionmentioning
confidence: 99%