arXiv (All)
open access
Banana Kick: Response-Informed Skill Evolution for Humanoid Soccer
Humanoid kicking requires coordinated whole-body motion and precise contact, while a banana kick demands contact mechanics that generate ball spin and aerodynamic curvature. Motion imitation provides a reliable ordinary-kick prior, but reinforcement learning may improve shot speed and placement accu
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Locomotion-Grounded Humanoid Soccer: Task-Gated Reinforcement Learning of a Multi-Directional Kicking Library#1143453
- KPI: A Promptable Kernel for Physical Interaction on Humanoids#1130993
- DAVIS: A Depth-Only End-to-End Active-Vision Framework for Humanoid Soccer Skills#1064719
- Mind the Gap: Rethinking I/O Design for Contact-Rich Visuomotor Policy Learning#1123021
- EgoPriMo: Egocentric Motion Generation for Interactive Humanoid Control#1131570
Record · ID 1063480
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive