Siyaasadda Faafinta ee Kediska Xakamaynta Robot

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Maxay siyaasadda faafintu ka dhalisaa go'aan kasta?
   • Taxane gaaban (qayb) ee ficilada mustaqbalka
   • Hal amar matoor oo degdeg ah
   • Sharaxaada luuqadda dabiiciga ah
   • Calaamada abaal-marin ee tababarka
2. Waa kuwee farsamada wax-soo-saarka ee Siyaasadda Faafintu ka amaahato sawirka AI?
   • Rinjiyeynta pixel gacanta
   • Dhaleecaynta qaylada random
   • Algorithms hidde
   • Go'aan geedaha
3. How can a generative action policy represent a task with several valid solutions?
   • It must choose the same fixed action for every observation
   • It removes the need for demonstrations or action data
   • It can model multiple plausible action sequences instead of regressing to their average
   • It guarantees higher success than every older controller
4. Inta lagu jiro tababarka, waa maxay shabkada ku jirta Siyaasadda Faafinta ee la baray in la saadaaliyo?
   • Erayga xiga ee jumlad
   • Heerka batteriga ee robotka
   • Goobta soo-gaadhista kamarada
   • Sawaxanka lagu daray hab-raac ficil oo muuqda
5. Waa maxay dib-u-qorsheynta dib-u-dejinta ee Siyaasadda Fidinta?
   • Odoroska fal-dambiyeedka laakiin dib-u-qorsheynta leh indho-indhayn cusub ka hor intaadan dhammayn
   • Ku orda robotka hal mar oo kaliya ka dibna joogsada
   • Iyaga oo iska indhatiraya dhammaan gelinta dareemayaasha
   • Tababar bilaa mudaaharaad ah
6. Which architecture did the Diffusion Policy paper introduce for modeling temporal action sequences?
   • A static image classifier with no temporal model
   • A time-series diffusion transformer
   • A text-only recurrent language model
   • A fixed lookup table of robot motions
7. What observations can condition a visuomotor Diffusion Policy?
   • Only a text prompt, with no robot or scene data
   • The names of the training researchers
   • Visual observations and the robot’s state
   • A future action sequence labeled as correct at inference time
8. How broad was the Diffusion Policy paper’s benchmark evaluation?
   • One task on a single robot benchmark
   • Hundreds of tasks across every robot platform
   • Only simulations with no manipulation tasks
   • Twelve tasks across four robot-manipulation benchmarks