๐Ÿš€ We had a fantastic time at ๐—–๐—ผ๐—ฅ๐—Ÿ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ (Seoul)โ€”presenting our paper ๐—˜๐—ป๐—ฑ๐—ผ๐—ฉ๐—Ÿ๐—”: ๐——๐˜‚๐—ฎ๐—น-๐—ฃ๐—ต๐—ฎ๐˜€๐—ฒ ๐—ฉ๐—ถ๐˜€๐—ถ๐—ผ๐—ป-๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ-๐—”๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐—ฃ๐—ฟ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ฒ ๐—”๐˜‚๐˜๐—ผ๐—ป๐—ผ๐—บ๐—ผ๐˜‚๐˜€ ๐—ง๐—ฟ๐—ฎ๐—ฐ๐—ธ๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐—˜๐—ป๐—ฑ๐—ผ๐˜€๐—ฐ๐—ผ๐—ฝ๐˜† and catching up with friends in the robot-learning community.

The work couples a VLM backbone with a dual-phase training recipe (SFT โ†’ RFT) to turn language prompts into robust tracking and motor commands for a continuum endoscope.

A highlight was a meeting with Prof. Ken Goldbergโ€”especially meaningful since Prof. Ren previously served as a postdoc at UC Berkeley, keeping our CUHKโ†”๏ธŽUCB connection strong.

๐Ÿค Huge thanks to collaborators and everyone who stopped by the poster!

Authors: Chi Kit Ng*, Long Bai*, Guankun Wang*, Yupeng Wang, Huxin Gao, Kun Yuan, Chenhan Jin, Tieyong Zeng, Hongliang Renโ€จAffiliations: CUHK, TUM

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