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Keita Kobashi

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2020 – today

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2024
[c2]
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  - conf/case/KobashiW0LT24
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Keita Kobashi, Changhao Wang, Yu Zhao, Hsien-Chung Lin, Masayoshi Tomizuka:
Learning from Local Experience: Informed Sampling Distributions for Efficient Motion Planning. CASE 2024: 3691-3698
2023
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  - journals/corr/abs-2306-09446
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Keita Kobashi, Changhao Wang, Yu Zhao, Hsien-Chung Lin, Masayoshi Tomizuka:
Learning from Local Experience: Informed Sampling Distributions for High Dimensional Motion Planning. CoRR abs/2306.09446 (2023)
2020
[c1]
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Keita Kobashi, Ayumu Bando, Kenji Nagaoka, Kazuya Yoshida:
Tumbling and Hopping Locomotion Control for a Minor Body Exploration Robot. IROS 2020: 1871-1878

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