2023
DOI: 10.3390/s23031234
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Orientation Control System: Enhancing Aerial Maneuvers for Quadruped Robots

Abstract: For legged robots, aerial motions are the only option to overpass obstacles that cannot be circumvented with standard locomotion gaits. In these cases, the robot must perform a leap to either jump onto the obstacle or fly over it. However, these movements represent a challenge, because, during the flight phase, the Center of Mass (CoM) cannot be controlled, and there is limited controllability over the orientation of the robot. This paper focuses on the latter issue and proposes an Orientation Control System (… Show more

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Cited by 9 publications
(3 citation statements)
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“…The navigation policy of our proposed system processes depth observation using a 2-D CNN to obtain l depth . The layer configurations include input channel number, output channel number, kernel size, and stride of (1,32,8,4), (32,64,4,2), and (64, 64, 3, 1), with a zero-padding of (2, 2, 2, 2) and (1, 1, 1, 1) for the first two layers. Task observation is processed using a 2-layer MLP with (3, 256) and (256, 256), resulting in l task .…”
Section: Network Structurementioning
confidence: 99%
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“…The navigation policy of our proposed system processes depth observation using a 2-D CNN to obtain l depth . The layer configurations include input channel number, output channel number, kernel size, and stride of (1,32,8,4), (32,64,4,2), and (64, 64, 3, 1), with a zero-padding of (2, 2, 2, 2) and (1, 1, 1, 1) for the first two layers. Task observation is processed using a 2-layer MLP with (3, 256) and (256, 256), resulting in l task .…”
Section: Network Structurementioning
confidence: 99%
“…The results also demonstrate the difficulty of navigating a robot without consideration of the robot dynamics. 1 We implement the baseline methods in the same experimental environments for comparison.…”
Section: Simulation Experimentsmentioning
confidence: 99%
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