Tsarin Haɗin Kai na Tsinkayar Matsayi don Robobi da Wayar Hannu Mai Hikima dangane da Sadarwar Haske da ake iya gani

1. Bayyani Gabaɗaya

Wannan takarda ta magance kalubalen tsinkayar matsayi a cikin gida inda tsarin gargajiya kamar GPS ya gaza saboda toshewar siginar. Ta yi amfani da yaɗuwar fitilun LED da na'urori masu ƙima na CMOS a cikin wayoyin hannu da robobi. Tsarin da aka gabatar yana amfani da Tsinkayar Matsayi ta Haske da ake iya gani (VLP), inda masu watsa LED ke daidaita haskensu (ta amfani da Maɓalli Mai Kunna-Kashe - OOK) don saka bayanan tantancewa na musamman (UID) da bayanan matsayi. Tashar karɓa (kyamarar wayar hannu ko na'urar firikwensin robot) tana ɗaukar waɗannan tsarin haske ta hanyar tasirin rufewa mai birgima, yana ba da damar Sadarwar Kamara ta Gani (OCC) a ƙimar bayanai mafi girma fiye da ƙimar firam ɗin bidiyo. Ta hanyar fassara waɗannan tsare-tsaren da kuma komawa ga ma'ajiyar taswira da aka riga aka gina wacce ke haɗa UID zuwa ma'auni na zahiri, na'urar za ta iya tantance matsayinta. Takardar ta nuna ƙara buƙatar haɗin gwiwar ɗan adam da robot a cikin ɗakunan ajiya, masana'antu, da ayyukan sabis, yana buƙatar raba matsayi cikin ainihin lokaci tsakanin na'urorin hannu da robobi.

2. Ƙirƙira

Babban ƙirƙira shine tsarin tsinkayar matsayi na haɗin kai wanda ya haɗa wayoyin hannu masu hikima da robobi ta amfani da VLC. Manyan gudunmawar sun haɗa da:

1. Ƙirƙirar tsarin tsinkayar matsayi na haɗin kai na VLC mai inganci wanda zai iya dacewa da yanayin haske daban-daban da matsayin na'ura (misali, wayoyin hannu masu karkata).
2. Gina tsarin aiki inda ake samun matsayin wayoyin hannu da robobi kuma ake raba su cikin ainihin lokaci akan fuskar wayar hannu.
3. Tabbatar da ingancin tsarin, amincin tantance ID, da aikin ainihin lokaci ta hanyar gwaji.

3. Bayanin Nunin Gwaji

Tsarin nunin gwaji ya ƙunshi manyan sassa biyu: masu watsa LED masu daidaitawa da tashoshin karɓar matsayi (wayoyin hannu/robobi).

4. Cikakkun Bayanai na Fasaha & Tsarin Lissafi

Tsarin ya dogara ne akan tasirin rufewa mai birgima na na'urori masu ƙima na CMOS. Lokacin da aka ɗauki LED mai daidaitawa ta OOK, yana bayyana a matsayin ratsan haske da duhu masu canzawa a cikin firam ɗin hoto guda. Ƙimar bayanai $R_{data}$ tana da alaƙa da lokacin karanta layin rufewa mai birgima $t_{line}$ da mitar daidaitawa $f_{mod}$: $R_{data} \propto \frac{1}{t_{line}}$. Wannan yana ba da damar saurin sadarwa wanda ya wuce ƙimar firam ɗin bidiyo $f_{frame}$ ($R_{data} > f_{frame}$).

Ana iya samun tsinkayar matsayi ta hanyar jinkiri ko kusurwa da zarar an dawo da UID na LED da sanannen matsayi $(x_i, y_i, z_i)$. Don sauƙi, idan mai karɓa ya gano LED da yawa kuma ya auna ƙarfin siginar da aka karɓa (RSS) ko kusurwar isowa (AoA), ana iya ƙiyasta matsayinsa $(x, y, z)$ ta hanyar warware jerin lissafi. Samfurin na yau da kullun dangane da RSS yana amfani da dabarar asarar hanya: $P_r = P_t - 10 n \log_{10}(d) + X_\sigma$, inda $P_r$ shine ƙarfin da aka karɓa, $P_t$ shine ƙarfin da aka watsa, $n$ shine ma'auni na asarar hanya, $d$ nesa ne, kuma $X_\sigma$ yana wakiltar amo.

5. Sakamakon Gwaji & Bayanin Jadawali

Hoto 1 (An ambata): Gabaɗayan Yanayin Gwaji da Sakamako. Wannan hoton yana iya nuna tsarin dakin gwaji tare da allunan LED guda huɗu da aka ɗora a rufi da robot a ƙasa. An nuna allon wayar hannu yana nuna fuskar taswira tare da matsayin robot (mai yiwuwa alama) da kanta wayar hannu (wata alama) cikin ainihin lokaci, yana nuna tsinkayar matsayi na haɗin kai. Sakamakon ya nuna aikin tsarin a cikin yanayi mai sarrafawa.

Takardar ta yi iƙirarin cewa tsarin ya nuna inganci mai girma (yana ambaton aikin da ya dace wanda ya sami kusan cm 2.5 don tsinkayar matsayin robot) da aikin ainihin lokaci. An tabbatar da ingancin tsarin haɗin kai—raba wurare tsakanin wayar hannu da robot akan fuska guda.

6. Tsarin Bincike: Nazarin Lamari Ba tare da Lambar Ba

Yanayi: Zaɓen Oda a Cikin Dakunan Ajiya tare da Ƙungiyoyin ɗan Adam da Robot.
Mataki na 1 (Yin Taswira): An shigar da LED na ababen more rayuwa tare da UID na musamman a wurare da aka sani a ko'ina cikin rufin ɗakin ajiya. An ƙirƙiri ma'ajiyar taswira wacce ke haɗa kowane UID zuwa ma'auninsa na $(x, y, z)$.
Mataki na 2 (Tantance Matsayin Robot): Robot mai motsi wanda aka sanye da kyamara mai fuskantar sama yana ɗaukar siginar LED, yana fassara UID, kuma yana ƙididdige daidaitaccen matsayinsa ta amfani da sanannun ma'auni na LED da bayanan na'urar firikwensin.
Mataki na 3 (Tantance Matsayin Ma'aikacin ɗan Adam): Wayar hannu mai hikima na mai zaɓe, wanda aka riƙe ko aka ɗora, ita ma tana ɗaukar siginar LED daga mahangarta, tana ƙididdige matsayin ma'aikacin. Algorithm [5-7] ya rama karkatar da wayar.
Mataki na 4 (Haɗin Kai & Nunawa): Ana watsa duka matsayin biyu zuwa uwar garken tsakiya ko tsakanin takwarorinsu. Allon wayar hannu na ma'aikacin yana nuna taswira wacce ke nuna matsayinsu da na robot cikin ainihin lokaci.
Mataki na 5 (Aiki): Tsarin yanzu zai iya daidaita ayyuka—misali, jagorantar robot don saduwa da ma'aikacin a wata hanya ta musamman, ko gargadin ma'aikacin idan robot yana gabatowa hanyarsu.

7. Hasashen Aikace-aikace & Hanyoyin Gaba

Aikace-aikace Nan da Nan: Dakunan ajiya masu hikima (Amazon, Alibaba), layukan haɗawa na masana'antu, robobin dabaru na asibiti suna aiki tare da ma'aikata, da jagororin gidan kayan tarihi masu mu'amala.
Hanyoyin Bincike na Gaba:

1. Haɗawa tare da 5G/6G da WiFi: Haɗa VLP tare da tsinkayar matsayi dangane da RF don ƙarfi a cikin yanayin rashin ganin layi, kama da hanyoyin haɗakar na'urar firikwensin a cikin motocin cin gashin kansu.
2. Sarrafa Siginar da AI ya Haɓaka: Yin amfani da koyo mai zurfi (misali, CNNs) don fassara siginar a ƙarƙashin amo mai tsanani, haske mai duhu, ko daga hotunan da aka ɓata, yana inganta amincin.
3. Daidaituwa: Matsawa don ƙa'idodin IEEE ko ITU akan daidaitawar VLC don tsinkayar matsayi don tabbatar da aiki tare tsakanin LED da na'urori na masana'antu daban-daban.
4. Ka'idoji masu ƙarfin kuzari: Haɓaka ka'idoji don wayoyin hannu su yi VLP ba tare da zubar da baturi mai mahimmanci ba, watakila ta amfani da na'urorin haɗin gwiwa masu ƙarancin wutar lantarki.
5. Yin Taswira Mai Girma Mai Girma: Haɗa tsarin tare da algorithms na SLAM masu sauƙi don ba da damar robobin su taimaka sabunta ma'ajiyar taswirar LED cikin ainihin lokaci idan an motsa kayan aiki.

8. Nassoshi

1. [1] Marubuci(a). "Hanyar tsinkayar matsayi don robobi dangane da ROS." Taro/Jarida. Shekara.
2. [2] Marubuci(a). "Hanyar tsinkayar matsayin robot dangane da LED guda ɗaya." Taro/Jarida. Shekara.
3. [3] Marubuci(a). "Tsinkayar matsayin robot haɗe da SLAM yana samun daidaiton cm 2.5." Taro/Jarida. Shekara.
4. [4] Marubuci(a). "Nazarin yuwuwar wurin haɗin kai na robobi." Taro/Jarida. Shekara.
5. [5-7] Marubuci(a). "Tsare-tsaren VLP don magance yanayin haske daban-daban da karkatar da wayoyin hannu." Taro/Jarida. Shekara.
6. Zhou, B., et al. "CycleGAN: Fassarar Hotuna-zuwa-Hoto mara Haɗin gwiwa ta amfani da Cibiyoyin Adawa masu Daidaituwa na Zagaye." IEEE ICCV. 2017. (Misali na AI mai sarrafa hoto mai ci gaba wanda za'a iya amfani dashi don haɓaka hoton VLP).
7. Matsakaicin IEEE don Sadarwar Haske da ake iya gani. "IEEE Std 802.15.7-2018."
8. "Fasahohin Tsinkayar Matsayi na Cikin Gida." Rahoton GSMA. 2022. (Don mahallin kasuwa).

9. Bincike na Asali & Sharhin Kwararru

Babban Fahimta: Wannan takarda ba kawai game da wani dabarar tsinkayar matsayi mai daidaiton centimita ba ne. Ainihin ƙimar sa ita ce tsarin aiki. Ta gane cewa makomar sarrafa kansa ba robot ɗaya ba ce, amma ƙungiyoyin ɗan adam da robot da aka haɗa (HRTs). Babban matsalar ya koma daga "Ina robot?" zuwa "Ina kowa, dangane da juna, a cikin tsarin tunani guda?" Yin amfani da ababen more rayuwa na haske da ake da su (LED) a matsayin cibiyar sadarwa mai yaɗuwa, amfani biyu (haske + bayanai) wani yunƙuri ne mai hikima don magance wannan matsalar haɗin kai ba tare da sabon babban kasafin kuɗi ba. Wannan ya yi daidai da babban yanayin "ababen more rayuwa masu hikima" da ake gani a cikin ayyuka kamar Project Soli na Google ko RFusion na MIT.

Kwararar Hankali & Ƙarfuka: Hankali yana da inganci: yi amfani da LED da kyamarorin wayoyin hannu da suka yaɗu don ƙirƙirar filin tsinkayar matsayi mai arha, mai inganci. Ƙarfin yana cikin haɗin kai tare da yanayin da ake da su

Kurakurai & Gibi Mai Muhimmanci: Giwa a cikin ɗaki shine ma'auni da ƙarfi. Nunin yana yiwuwa yana aiki a cikin dakin gwaji mai tsabta, mai sarrafawa. Dakunan ajiya na gaske suna da toshewa (shelves, kayayyaki), haske mai motsi (hasken rana daga tagogi, fitilun motar ɗaukar kaya), da toshewar kyamara (hannu akan wayar). Takardar ta yi watsi da waɗannan. Ta yaya tsarin ke ɗaukar ganin LED na ɓangare ko siginoni masu yawa da aka nuna? Dogaro da ma'ajiyar taswira mai tsayayye da aka riga aka gina shima iyaka ne—menene idan LED ta gaza ko an toshe ta na ɗan lokaci? Ba kamar tsarin da ya dogara da SLAM (misali, waɗanda ke amfani da LiDAR ko SLAM na gani kamar ORB-SLAM3) ba, wannan tsarin ba shi da ikon yin taswira mai motsi na asali. Bugu da ƙari, tsaro na tashar VLC ba a ambata ba—shin LED mai mugunta za ta iya watsa ma'auni na yaudara?