2A2-B04 Acquisition of Moving Motion of Four-Legged Robot with Spring Elements Based on Reinforcement Learning(Walking Robot)

2011 ◽  
Vol 2011 (0) ◽  
pp. _2A2-B04_1-_2A2-B04_2
Author(s):  
Satoshi NAKANISHI ◽  
Kohei NAKANISHI ◽  
Masafumi KARIYA ◽  
Kazuyoshi TSUTSUMI
2011 ◽  
Vol 2011 (0) ◽  
pp. _2A2-C06_1-_2A2-C06_2
Author(s):  
Masaaki Ikeda ◽  
Keigo Watanabe ◽  
Kiyotaka Izumi
Keyword(s):  

2019 ◽  
Vol 9 (9) ◽  
pp. 1779 ◽  
Author(s):  
Yaguang Zhu ◽  
Chaoyu Jia ◽  
Chao Ma ◽  
Qiong Liu

In this study, we propose adaptive locomotion for an autonomous multilegged walking robot, an image infilling method for terrain classification based on a combination of speeded up robust features, and binary robust invariant scalable keypoints (SURF-BRISK). The terrain classifier is based on the bag-of-words (BoW) model and SURF-BRISK, both of which are fast and accurate. The image infilling method is used for identifying terrain with obstacles and mixed terrain; their features are magnified to help with recognition of different complex terrains. Local image infilling is used to improve low accuracy caused by obstacles and super-pixel image infilling is employed for mixed terrain. A series of experiments including classification of terrain with obstacles and mixed terrain were conducted and the obtained results show that the proposed method can accurately identify all terrain types and achieve adaptive locomotion.


Author(s):  
Adnan Rachmat Anom Besari ◽  
Ruzaidi Zamri ◽  
Anton Satria Prabuwono ◽  
Son Kuswadi

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