arXiv (All)
open access
Gimbal-Based Human Tracking for Companion Robots Using Continual Learning
Reliable and continuous human tracking is essential for natural human-robot interaction, particularly for companion robots. However, many existing approaches rely on wearable tags or fixed cameras with limited fields of view, which reduces system flexibility and often causes tracking failures when t
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
- A Wearable-Based Approach to Spinal Posture Tracking and Assessment#460133
- Policy-Calibrated DAgger: Offline Calibrated Noise Injection for Imitation Learning#1104661
- Demonstration Synthesis from a Single Scan via Gaussian Splatting for Visuomotor Policy Learning#1035082
- Simulation of the autonomous combat systems robot optical detection system#1085104
- Radio Frequency Passive Tagging System Enabling Object Recognition and Alignment by Robotic Hands#185584
Record · ID 1011187
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