Constrained Whole-Body Tracking for Humanoid Robots

์ €์ž: Daniel Morton, Pranit Mohnot, Marco Pavone | ๋‚ ์งœ: 2026 | DOI: 10.48550/ARXIV.2606.00374 📄 PDF


Essence

Figure 1

Figure 1: Where does safety fit into a learning-based humanoid motion tracking stack? We approach

๋ณธ ๋…ผ๋ฌธ์€ ๊ฐ•ํ™”ํ•™์Šต ๊ธฐ๋ฐ˜ ์ธ๊ฐ„ํ˜• ๋กœ๋ด‡์˜ ์ „์‹  ๋ชจ์…˜ ์ถ”์  ์ œ์–ด์—์„œ ์•ˆ์ „ ์ œ์•ฝ์กฐ๊ฑด์„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๊ฐ•์ œํ•˜๋Š” ConstrainedMimic ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ์‹œํ•œ๋‹ค. operational space control๊ณผ control barrier functions์„ ๊ฒฐํ•ฉํ•˜์—ฌ kinematics์™€ dynamics ์ฐจ์›์—์„œ ์‹คํ–‰์‹œ๊ฐ„ ์ œ์•ฝ์กฐ๊ฑด์„ ๋งŒ์กฑ์‹œํ‚จ๋‹ค.

Motivation

Achievement

Figure 1

Figure 1: Where does safety fit into a learning-based humanoid motion tracking stack? We approach

์ œ์•ฝ์กฐ๊ฑด ๊ฐ•์ œ ๋ฐฉ๋ฒ• ์„ธ ๊ฐ€์ง€ ์ œ์‹œ: constrained retargeting, kinematic filter, dynamic filter๋ฅผ contact-constrained kinematics/dynamics ์œ„์—์„œ ๊ตฌ์„ฑ. ์‹ค์‹œ๊ฐ„ ์‹คํ–‰ ๊ฐ€๋Šฅ: CPU, GPU, TPU์—์„œ 300-500 Hz ๋ฐฐํฌ ๊ฐ€๋Šฅ. ์ „์‹  ์ถ”์  ์ •์ฑ… ํ˜ธํ™˜์„ฑ: ์‚ฌ์ „ ํ›ˆ๋ จ๋œ ์ •์ฑ… ์ˆ˜์ • ์—†์ด collision avoidance, joint limits, center of mass stability ์ œ์•ฝ์กฐ๊ฑด ๋งŒ์กฑ ์‹œ์—ฐ.

How

Figure 1

Figure 1: Where does safety fit into a learning-based humanoid motion tracking stack? We approach

Originality

Limitation & Further Study

Evaluation

Novelty: 4/5 Technical Soundness: 4/5 Significance: 4/5 Clarity: 4/5 Overall: 4/5

์ดํ‰: ๋ณธ ๋…ผ๋ฌธ์€ humanoid ์ „์‹  ์ œ์–ด์—์„œ contact-constrained ๋™์—ญํ•™์„ ํ†ตํ•œ ์ฒด๊ณ„์ ์ด๊ณ  ์‹ค์šฉ์ ์ธ ์•ˆ์ „ ๊ฐ•์ œ ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. Kinematics์™€ dynamics ์–‘๋‹จ ํ•„ํ„ฐ๋ง, task-consistent ์„ค๊ณ„, ์‹ค์‹œ๊ฐ„ ์‹คํ–‰ ๊ฐ€๋Šฅ์„ฑ์€ ์ฃผ๋ชฉํ•  ๋งŒํ•˜๋‚˜, ์‹คํ•˜๋“œ์›จ์–ด ๊ฒ€์ฆ๊ณผ ์ถฉ๋Œ ๋ชจ๋ธ ํ™•์žฅ์ด ํ•„์š”ํ•˜๋‹ค.

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๐ŸŽง Audio Overview

์ด ๋…ผ๋ฌธ ๋ฆฌ๋ทฐ๋ฅผ ํŒŸ์บ์ŠคํŠธํ˜• ์˜ค๋””์˜ค๋กœ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค. (Gemini ยท ํ‚ค๋Š” ๋ธŒ๋ผ์šฐ์ €์—๋งŒ ์ €์žฅ ยท ์™„์„ฑ๋ณธ์€ ์ด๋ฉ”์ผ๋กœ๋„ ์ „์†ก)
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