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SP-HLM: Sparse-Pose-Driven Motion Generation and Whole-Body Control for Humanoid Loco-Manipulation

Paper recorded by Signals 4 on 2026-10-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.AI · 人工智能 · first seen 2026-10-22

Abstract

Humanoid loco-manipulation requires an effective interface between high-level task policies and whole-body control. Existing interfaces typically rely on a single action representation for both task intent and whole-body coordination. This may burden the high-level policy or leave one aspect underspecified. We present SP-HLM, a framework built on a sparse-pose-driven interface. The interface combi

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#216 most recent of 960 cs.AI papers we have recorded · ↑ newer: Which Differences Matter? Controlled Tests of Rule Transfer, Joint Rel · ↓ older: HGM-Dual: Lineage-Aware Guided Agent Harness Optimization for Long-Hor
Cite this page: SP-HLM: Sparse-Pose-Driven Motion Generation and Whole-Body Control for Humanoid Loco-Manipulation: the #216 most recent of 960 cs.AI papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sp-hlm-sparse-pose-driven-motion-generation-and-whole-body-control-for-humanoid-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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