Teburin Abubuwan Ciki
- 1. Gabatarwa
- 2. Hanyar Bincike
- 3. Aiwar Fasaha
- 4. Sakamako da Bincike
- 5. Aiwar Code
- 6. Aikace-aikacen Gaba
- 7. Nassoshi
1. Gabatarwa
Haɗin gwiwar mutum da robo a cikin raba wuraren aiki yana buƙatar ingantaccen sadarwa don tabbatar da aminci da inganci. Wannan binciken yana binciken yadda sadarwar da ba ta magana ba ta hanyar alamun LED da nunin halaye za su iya haɓaka hulɗar mutum da robo. Binciken ya magance babbar ƙalubalen hana karo yayin kiyaye ingancin aiki a cikin wuraren masana'antu inda sadarwar sauti bazata iya dogaro ba saboda hayaniyar baya.
2. Hanyar Bincike
Gwajin ya ƙunshi mahalarta 18 waɗanda suka haɗa kai da robo na Franka Emika Panda wanda aka sanye shi da tsiri na LED a kan na'urar ƙarsa da kuma nunin fuska mai rai akan kwamfutar hannu. Binciken ya kimanta yanayi uku na sadarwa don tantance tasirinsu kan jiran karo da aikin aiki.
2.1 Tsarin Gwaji
An saita tsarin robo tare da alamun LED masu launi waɗanda ke wakiltar manufofin motsi daban-daban: kore don motsi mai aminci, rawaya don taka tsantsan, ja kuma don haɗarin karo na kusa. Tsarin nunin halaye ya yi amfani da kwamfutar hannu don nuna yanayin fuska da suka dace da niyyar kawar da karo ta robo.
2.2 Yanayin da Aka Gwada
- Yanayi A: Alamun LED kadai
- Yanayi B: Alamun LED tare da nunin halaye masu amsawa
- Yanayi C: Alamun LED tare da nunin halaye na riga-kafi
3. Aiwar Fasaha
3.1 Tsarin Alamar LED
Tsarin sarrafa LED ya yi amfani da hanyar da ta dogara da yuwuwar tantance haɗarin karo. Tsarin ya lisa nisa tsakanin na'urar ƙarsa ta robo da ma'aikacin ɗan adam ta amfani da:
$P(collision) = \frac{1}{1 + e^{-k(d - d_0)}}$
inda $d$ shine nisa na yanzu, $d_0$ shine bakin kofa na aminci, kuma $k$ shine sigar hankali.
3.2 Algorithm na Nunin Halaye
Tsarin nunin halaye ya aiwatar da na'ura mai iyaka ta jihohi tare da manyan jihohi uku na halaye: tsaka tsaki, damuwa, da faɗakarwa. Canje-canje tsakanin jihohi suna faruwa ne ta hanyar bakin kofa na kusanci da saurin motsi.
4. Sakamako da Bincike
4.1 Ma'aunin Aiki
Lokacin Jiran Karo
LED Kadai: 2.3s ± 0.4s
LED + Halaye: 2.1s ± 0.5s
Yawan Kammalawa Aiki
LED Kadai: 94%
LED + Halaye: 92%
4.2 Fahimtar Mai Amfani
Sakamakon tambayoyi ya nuna cewa nunin halaye ya ƙara ƙara fahimtar hulɗa (p < 0.05) amma bai inganta bayyananniyar sadarwa ko ingancin aiki ba idan aka kwatanta da alamun LED kadai.
5. Aiwar Code
class EmotionalDisplayController:
def __init__(self):
self.states = ['neutral', 'concerned', 'alert']
self.current_state = 'neutral'
def update_emotion(self, distance, velocity):
risk_score = self.calculate_risk(distance, velocity)
if risk_score < 0.3:
self.current_state = 'neutral'
elif risk_score < 0.7:
self.current_state = 'concerned'
else:
self.current_state = 'alert'
return self.get_emotional_display()
def calculate_risk(self, d, v):
# Lissafin haɗari mai daidaito
distance_risk = max(0, 1 - d / SAFETY_DISTANCE)
velocity_risk = min(1, v / MAX_VELOCITY)
return 0.6 * distance_risk + 0.4 * velocity_risk
6. Aikace-aikacen Gaba
Binciken ya kawo muhimman abubuwa ga robobin masana'antu, robobin kiwon lafiya, da robobin hidima. Aikin gaba ya kamata ya mayar da hankali kan nunin halaye masu daidaitawa waɗanda ke koyo daga amsoshin mai amfani da kuma bambance-bambancen al'adu a fassarar halaye.
7. Nassoshi
- Ibrahim, M., et al. "Binciken Tasirin Alamun LED da Nunin Halaye a Wuraren Aiki na Mutum da Robo." arXiv:2509.14748 (2025).
- Breazeal, C. "Ƙirar Robobin Zamantakewa." MIT Press (2002).
- Bartneck, C., et al. "Kai na CAROQ: Mu'amalar kai mai siffar kai don sadarwar halaye." Robobi da Tsare-tsare masu cin gashin kansu (2020).
- Goodfellow, I., et al. "Cibiyoyin Sadarwa masu ƙirƙira." Ci gaba a cikin Tsarin Bayanai na Neural (2014).
Binciken Kwararre
Maganar Gaskiya
Wannan binciken ya kawo gaskiya mai ban tsoro: nunin halaye a cikin robobi, duk da cewa suna shiga cikin tunani, ba sa ba da fa'ida mai mahimmanci a cikin wuraren masana'antu da suka fi mayar da hankali kan aiki. Binciken ya ƙalubalanci al'adar da ta yi karo na sanya robobin masana'antu su zama kamar ɗan adam.
Sarkar Hankali
Binciken ya kafa sarƙaƙƙiyar dalili: nunin halaye → ƙara fahimtar hulɗa → babu ingantacciyar ci gaba a cikin jiran karo ko ingancin aiki. Wannan ya saba wa zato a cikin bincike kamar na Breazeal na aikin robobin zamantakewa cewa bayyananniyar halaye dole ne ta fassara zuwa fa'idodin aiki. Binciken ya yi daidai da wallafe-wallafen robobin masana'antu waɗanda ke jaddada bayyananniyar sigina, maras shakku akan ƙwaƙƙwaran halaye.
Abubuwan Haske da Kurakurai
Abubuwan Haske: Ƙirar gwaji mai ƙarfi a cikin gwada yanayi daban-daban uku yana ba da shaida mai gamsarwa. Yin amfani da ma'auni na aiki da kuma fahimtar mai amfani na son rai ya haifar da tsari mai cikakken kimantawa. Hanyar bincike ta fi yawancin irin wannan bincike a cikin hulɗar mutum da robo ta hanyar kiyaye ingancin muhalli yayin sarrafa masu canji.
Kurakurai: Girman samfurin mahalarta 18 yana iyakance ƙarfin ƙididdiga. Binciken ya kasa magance yuwuwar tasirin dogon lokaci inda nunin halaye zai iya nuna fa'idodi ta hanyar maimaita bayyanawa. Kamar yawancin binciken ilimi, yana ba da fifiko ga yanayin dakin gwaji mai tsabta akan ɗimbin yanayi na masana'antu na ainihi.
Ƙwararren Shawarar Aiki
Kamfanonin robobin masana'antu ya kamata su sake duba saka hannun jari a cikin hadaddun tsarin nunin halaye kuma a maimakon haka su mai da hankali kan albarkatun don inganta hanyoyin sigina masu sauƙi, na duniya kamar tsarin LED. Binciken ya nuna cewa a cikin manyan wuraren masana'antu, bayyananniya ya fi mutumci. Ci gaba na gaba ya kamata ya ba da fifiko ga sigina masu daidaitawa waɗanda ke la'akari da bambance-bambancen ma'aikaci maimakon bayyana halaye ɗaya ga kowa.