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

Tianxing Chen
@MarioChan2002
PhD student @ HKU-MMLab ยท Founder of Lumina EAI Community ยท Generalist Robot Manipulation
๊ฐ€์ž… January 2023
181 ํŒ”๋กœ์ž‰ ์ค‘    1.5K ํŒฌ
We put GPT-6 Astra in the RoboDojo. ๐Ÿฅ‹๐Ÿค– The RoboDojo Team conducted a comprehensive evaluation of GPT-6 Astra as an embodied agent, including: โ€ข RoboDojo Sim & Real, compared with GPT-5.5 and DeepSeek-Flash โ€ข Humanoid high-level control โ€ข Dexterous piano playing with RoboPianist ๐ŸŽน โ€ข A systematic study of in-context learning (ICL) Our key takeaway: GPT-6 Astra demonstrates remarkably strong semantic and spatial understanding, together with impressive in-context adaptation. At the same time, physical commonsense remains a clear bottleneck โ€” revealing an important gap between understanding the world and truly reasoning about its physics. Full report & demos: @_wenbozhang (project lead), @wenhaocha1, @frankzydou, @JinWeiyang18434, @YutaoOuyang, @minifullcapsule, @x_h_ucb, @YutaoOuyang, @YueChen614
๋” ๋ณด๊ธฐ