arXiv (All)
open access
Learning Terrain-Aware Whole-Body Control for Perceptive Legged Loco-Manipulation
Legged manipulators integrate exceptional terrain adaptability along with mobile manipulation capabilities, which make them highly promising for deployment in human-centric environments. By coordinating the control of both legs and arms, a whole-body controller can significantly expand the operation
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
- X2-N: A Transformable Wheel-legged Humanoid Robot with Dual-mode Locomotion and Manipulation#927293
- Demonstrating a Robust Walking Algorithm for Underactuated Bipedal Robots in Non-flat, Non-stationary Environments#1142516
- A Long-Legged, Direct-Drive Monopedal Robot Achieves Exceptional Jump Height#1104729
- Underactuated Robotics#3591
- Underactuated Robotics#3325
Record · ID 926058
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