๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

xintong hu
@Erics_Tong
PHD at @XLangNLP in @HKUniversity, advised by @taoyds. undergraduate from Zhejiang university Research field๏ผšEmbodied AI, VLA, WAM
๊ฐ€์ž… February 2024
144 ํŒ”๋กœ์ž‰ ์ค‘    76 ํŒฌ
Current robot policies overfit specific language templates, handling 'pick and place' but freezing on 'drag it to me ' or 'push it closer to me.' They also lack control over execution: which hand, what approach angle, where to grasp, which path to follow. ๐Ÿค– FineVLA make robots steerable : changing instruction alters execution; same task, different phrasing, distinct actions โ€” all faithfully done. ๐Ÿ  Homepage: ๐Ÿ“„ Paper: ๐Ÿ’ปCodebase: ๐Ÿงต[1/6]
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