arXiv (OAI Expanded)
open access
JEPLO: Joint-Embedding Predictive Learning for LiDAR-Based Legged Locomotion
Light detection and ranging (LiDAR) remains less explored than RGB-D sensing for perceptive legged locomotion, and existing LiDAR-based approaches often rely on explicit mapping. We present JEPLO (Joint-Embedding Predictive learning for legged LOcomotion), a single-stage learning framework for mappi
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
- MapLightning: Online Vectorized HD Map Construction with 1D Map Tokens#1157176
- ReLoc: Rethinking Scene Coordinate Regression Architecture for Robust Outdoor LiDAR-based Localization#1118056
- Learning Traversability for Long Horizon Off-Road Navigation#999832
- Neural Distribution Prior for LiDAR Out-of-Distribution Detection#6019
- READ: Learning Risk-Informed Fields for End-to-End Autonomous Driving#1000325
Record · ID 1109731
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