Strategies for Generating Footsteps of Biped Robots in Narrow Sight
In this paper, we present a strategy for a legged robot to stably cross cinder blocks with a limited area acquired from a camera. First, we used the point cloud acquired from the camera to detect the planes and calculate their centroids and directions. This information was used to determine the posi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/10/3817 |
| _version_ | 1797495711932088320 |
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| author | Sung-Joon Yoon Baek-Kyu Cho |
| author_facet | Sung-Joon Yoon Baek-Kyu Cho |
| author_sort | Sung-Joon Yoon |
| collection | DOAJ |
| description | In this paper, we present a strategy for a legged robot to stably cross cinder blocks with a limited area acquired from a camera. First, we used the point cloud acquired from the camera to detect the planes and calculate their centroids and directions. This information was used to determine the position and direction of the foot to which the robot should go. Existing A*-based footstep planners require a global map to reach the goal from the start and do not generate a path if there is no solution to the goal due to completeness of A*. In addition, if the map is not updated while moving the path, it is vulnerable to changes in the object position. Our strategy calculates the footsteps that the robot can walk in a limited camera area without securing a global map. In addition, it updates the local map information every walking step so that it quickly recognizes nearby objects and finds a path that can move. While the robot is walking, objects may not be detected due to the narrow camera field of view. In addition, even if an area for the robot to land is found, a situation in which the robot’s legs collide may occur. We present a strategy to solve this problem using previous landing data. In the experimental environment composed of several patterns, the performance was verified by stably walking on the blocks without collision between the robot’s legs. |
| first_indexed | 2024-03-10T01:53:28Z |
| format | Article |
| id | doaj.art-f23906513b554314a95af442db7e8443 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:53:28Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f23906513b554314a95af442db7e84432023-11-23T13:01:44ZengMDPI AGSensors1424-82202022-05-012210381710.3390/s22103817Strategies for Generating Footsteps of Biped Robots in Narrow SightSung-Joon Yoon0Baek-Kyu Cho1Department of Mechanical Systems Engineering, Kookmin University, Jeongneung-ro 77, Seoul 02707, KoreaSchool of Mechanical Engineering, Kookmin University, Jeongneung-ro 77, Seoul 02707, KoreaIn this paper, we present a strategy for a legged robot to stably cross cinder blocks with a limited area acquired from a camera. First, we used the point cloud acquired from the camera to detect the planes and calculate their centroids and directions. This information was used to determine the position and direction of the foot to which the robot should go. Existing A*-based footstep planners require a global map to reach the goal from the start and do not generate a path if there is no solution to the goal due to completeness of A*. In addition, if the map is not updated while moving the path, it is vulnerable to changes in the object position. Our strategy calculates the footsteps that the robot can walk in a limited camera area without securing a global map. In addition, it updates the local map information every walking step so that it quickly recognizes nearby objects and finds a path that can move. While the robot is walking, objects may not be detected due to the narrow camera field of view. In addition, even if an area for the robot to land is found, a situation in which the robot’s legs collide may occur. We present a strategy to solve this problem using previous landing data. In the experimental environment composed of several patterns, the performance was verified by stably walking on the blocks without collision between the robot’s legs.https://www.mdpi.com/1424-8220/22/10/3817path planningpoint cloudhumanoidlegged robot |
| spellingShingle | Sung-Joon Yoon Baek-Kyu Cho Strategies for Generating Footsteps of Biped Robots in Narrow Sight Sensors path planning point cloud humanoid legged robot |
| title | Strategies for Generating Footsteps of Biped Robots in Narrow Sight |
| title_full | Strategies for Generating Footsteps of Biped Robots in Narrow Sight |
| title_fullStr | Strategies for Generating Footsteps of Biped Robots in Narrow Sight |
| title_full_unstemmed | Strategies for Generating Footsteps of Biped Robots in Narrow Sight |
| title_short | Strategies for Generating Footsteps of Biped Robots in Narrow Sight |
| title_sort | strategies for generating footsteps of biped robots in narrow sight |
| topic | path planning point cloud humanoid legged robot |
| url | https://www.mdpi.com/1424-8220/22/10/3817 |
| work_keys_str_mv | AT sungjoonyoon strategiesforgeneratingfootstepsofbipedrobotsinnarrowsight AT baekkyucho strategiesforgeneratingfootstepsofbipedrobotsinnarrowsight |