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Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2970645
Abstract: Kernel functions may be used in robotics for comparing different poses of a robot, such as in collision checking, inverse kinematics, and motion planning. These comparisons provide distance metrics often based on joint space measurements…
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Keywords:
collision;
robotics;
forward kinematics;
proxy collision ... See more keywords
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Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3223021
Abstract: Safety certificates in robot configuration space have been shown as an efficient collision checking method. However, this method can only be applied to very simple problems since constructing the configuration space obstacles is often intractable.…
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Keywords:
motion planning;
safety;
certificate;
collision ... See more keywords
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Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3280820
Abstract: Collision checking is the primitive operation of motion planning that consumes most time. Machine learning algorithms have proven to accelerate collision checking. We propose CollisionGP, a Gaussian process-based algorithm for modeling a robot's configuration space…
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Keywords:
motion planning;
collisiongp gaussian;
collision;
gaussian process ... See more keywords
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Published in 2023 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2022.3167772
Abstract: This paper deals with safe human-robot collaboration in the context of speed and separation monitoring paradigm. The core of the approach is to continuously track the separation distance between the robot and the human. The…
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Keywords:
collision checking;
human robot;
robot;
danger zones ... See more keywords