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ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild

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Bufang Yang, Lilin Xu, Liekang Zeng, Yunqi Guo, Siyang Jiang, Wenrui Lu, Kaiwei Liu, Yixuan Li, Xiaofan Jiang, Guoliang Xing, Zhenyu Yan

๐Ÿ’ก ๊ฐœ์š”

์ด ์—ฐ๊ตฌ๋Š” ์ผ์ƒ์ƒํ™œ ์ „๋ฐ˜์— ๊ฑธ์ณ ์‚ฌ์šฉ์ž๋ฅผ ์ง€์†์ ์œผ๋กœ ์ง€์›ํ•˜๋Š” ๋Šฅ๋™์ ์ธ LLM ์—์ด์ „ํŠธ ์‹œ์Šคํ…œ์ธ ProAgent๋ฅผ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. ProAgent๋Š” ๋น„์šฉ ํšจ์œจ์ ์ธ ๊ณ„์ธต์  ๊ฐ์ง€ ๋ฐฉ์‹์„ ํ™œ์šฉํ•˜์—ฌ ์˜จ๋””๋งจ๋“œ ๋ฐฉ์‹์œผ๋กœ ์‚ฌ์šฉ์ž ์ฃผ๋ณ€ ํ™˜๊ฒฝ์„ ํŒŒ์•…ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๋„์ถœ๋œ ๊ณ„์ธต์  ๋งฅ๋ฝ ์ •๋ณด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์‚ฌ์šฉ์ž ์š”๊ตฌ๋ฅผ ์ถ”๋ก ํ•˜์—ฌ ์„ ์ œ์ ์ธ ์ง€์›์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์‹ค์ œ AR ๊ธ€๋ž˜์Šค ํ™˜๊ฒฝ์—์„œ ProAgent๋Š” ๊ธฐ์กด ์ตœ์‹  ๊ธฐ์ˆ  ๋Œ€๋น„ ๋†’์€ ์˜ˆ์ธก ์ •ํ™•๋„์™€ ๋‚ฎ์€ ์˜คํƒ๋ฅ ์„ ๋‹ฌ์„ฑํ–ˆ์œผ๋ฉฐ, ์‚ฌ์šฉ์ž ๋งŒ์กฑ๋„ ๋˜ํ•œ ๋งค์šฐ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค.

๐Ÿ”‘ ์‹œ์‚ฌ์  ๋ฐ ํ•œ๊ณ„

โ€ข
์ผ์ƒ์ƒํ™œ์—์„œ์˜ LLM ์—์ด์ „ํŠธ ๋Šฅ๋ ฅ ํ™•์žฅ: ProAgent๋Š” ์งง์€ ์ž‘์—…์ด๋‚˜ ํ™”๋ฉด ๋งฅ๋ฝ์— ๊ตญํ•œ๋˜์ง€ ์•Š๊ณ , ์ง€์†์ ์ธ ํ™˜๊ฒฝ ์ธ์‹์„ ํ†ตํ•ด ์ผ์ƒ์ƒํ™œ ์ „๋ฐ˜์— ๊ฑธ์ณ ์‚ฌ์šฉ์ž์—๊ฒŒ ๋Šฅ๋™์ ์ธ ๋„์›€์„ ์ œ๊ณตํ•˜๋Š” LLM ์—์ด์ „ํŠธ์˜ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.
โ€ข
ํšจ์œจ์ ์ธ ๋งฅ๋ฝ ํš๋“ ๋ฐ ํ™œ์šฉ: ์˜จ๋””๋งจ๋“œ ๊ณ„์ธต์  ๊ฐ์ง€ ๋ฐ ๋งฅ๋ฝ ์ถ”์ถœ ๋ฐฉ์‹์„ ํ†ตํ•ด ์‹œ์Šคํ…œ ์˜ค๋ฒ„ํ—ค๋“œ๋ฅผ ์ค„์ด๋ฉด์„œ๋„ ์‚ฌ์šฉ์ž ์„ ํ˜ธ๋„๋ฅผ ํ†ตํ•ฉํ•œ ํ’๋ถ€ํ•œ ๋งฅ๋ฝ ์ •๋ณด๋ฅผ ์ƒ์„ฑํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค.
โ€ข
์‹ค์ œ ํ™˜๊ฒฝ์—์„œ์˜ ํšจ์šฉ์„ฑ ์ž…์ฆ: AR ๊ธ€๋ž˜์Šค๋ฅผ ํ™œ์šฉํ•œ ์‹คํ—˜ ๋ฐ ์‚ฌ์šฉ์ž ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ProAgent์˜ ๋†’์€ ์„ฑ๋Šฅ๊ณผ ์‹ค์šฉ์„ฑ์„ ๊ฐ๊ด€์ ์œผ๋กœ ์ž…์ฆํ–ˆ์Šต๋‹ˆ๋‹ค.
โ€ข
ํ•œ๊ณ„์ : ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ AR ๊ธ€๋ž˜์Šค ํ™˜๊ฒฝ์„ ์ค‘์‹ฌ์œผ๋กœ ํ‰๊ฐ€๋˜์—ˆ์œผ๋ฉฐ, ๋‹ค์–‘ํ•œ ์›จ์–ด๋Ÿฌ๋ธ” ๊ธฐ๊ธฐ ๋ฐ ํ™˜๊ฒฝ์—์„œ์˜ ํ™•์žฅ์„ฑ ๋ฐ ์ตœ์ ํ™”์— ๋Œ€ํ•œ ์ถ”๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, ์žฅ๊ธฐ์ ์ธ ์‚ฌ์šฉ์ž ์ƒํ˜ธ์ž‘์šฉ์—์„œ์˜ ๋งฅ๋ฝ ํ•™์Šต ๋ฐ ์ ์‘ ๋Šฅ๋ ฅ์— ๋Œ€ํ•œ ์‹ฌ์ธต์ ์ธ ํƒ๊ตฌ๊ฐ€ ์š”๊ตฌ๋ฉ๋‹ˆ๋‹ค.
๐Ÿ‘
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