研究課題/領域番号 |
22K04017
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研究種目 |
基盤研究(C)
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配分区分 | 基金 |
応募区分 | 一般 |
審査区分 |
小区分20020:ロボティクスおよび知能機械システム関連
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研究機関 | 早稲田大学 |
研究代表者 |
Somlor Sophon 早稲田大学, 理工学術院総合研究所(理工学研究所), 次席研究員(研究院講師) (40791231)
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研究期間 (年度) |
2022-04-01 – 2025-03-31
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研究課題ステータス |
交付 (2022年度)
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配分額 *注記 |
4,030千円 (直接経費: 3,100千円、間接経費: 930千円)
2024年度: 520千円 (直接経費: 400千円、間接経費: 120千円)
2023年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
2022年度: 1,950千円 (直接経費: 1,500千円、間接経費: 450千円)
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キーワード | Tactile sensor / Proximity sensor / Capacitive sensor / Smart sensor |
研究開始時の研究の概要 |
Diseases such as COVID-19 show the vulnerability of our medical system, and the situation will only get more serious in the future due to our super-aging society. Robots are commonly seen as a possible solution, but close interaction with humans is still impossible for them due to safety concerns. We address this problem by developing an adaptive and smart skin sensor. The skin can sense both the proximity and the contact strength. It can adjust its sensing range and resolution. The skin is safer with inflated air pockets. The sensor will have Tactile AI for safety and gesture recognition.
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研究実績の概要 |
A prototype of the sensor was created. In this version, the concept and the working principle of the 'adjustable spatial resolution' and the 'dynamic sensing range' were confirmed. Experiments showed that the resolution of the sensor can be increased and decreased quickly. At the same time, the sensing range was decreased and increased, respectively. This ability to quickly change the resolution add the versatility of the sensor; the sensor can detect the approach from further away and also able to localize the proximity in a short period of time (~12 Hz).
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
Sensor's prototype was created. The concept and working principle of the adjustable resolution was tested.
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今後の研究の推進方策 |
The phenomenon of self-sensing of between several units of the sensor will be further studied. This will be used as a baseline for developing 'Tactile AI' that can compensate for interference such as self-sensing and static objects in the environment.
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