2021 IEEE International Conference on Robotics and Automation (ICRA) 2021
DOI: 10.1109/icra48506.2021.9561458
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Obstacle Avoidance with Kinetic Energy Buffer

Abstract: This paper presents Kinetic Energy Difference (KED) as a metric for collision proximity. The calculation of KED for differentially driven robots is explained, along with an example obstacle avoidance algorithm that utilizes it. This example algorithm is computationally efficient and simulations show that it is capable of guiding robots with slow dynamics through narrow corridors.

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(1 citation statement)
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“…Methods of the second group estimate the current locations of obstacles and plan the trajectory of movement, taking into account all known obstacles. Some methods plan a new full path [13,14] to the target point, some methods [15] plan a detour through an alternative point(s). However, dynamic obstacles in these methods are either considered as fixed, or it is assumed that the motion parameters of these obstacles are known and do not change.…”
Section: Discussionmentioning
confidence: 99%
“…Methods of the second group estimate the current locations of obstacles and plan the trajectory of movement, taking into account all known obstacles. Some methods plan a new full path [13,14] to the target point, some methods [15] plan a detour through an alternative point(s). However, dynamic obstacles in these methods are either considered as fixed, or it is assumed that the motion parameters of these obstacles are known and do not change.…”
Section: Discussionmentioning
confidence: 99%