About this document
Deep Learning in Human-Following Robots by mdthohidks is a document available to read on EtoBox.
This literature survey reviews five papers from 2020 to 2024 on human-following and obstacle-detecting robots. The studies highlight various approaches, including deep learning, sensor fusion, and reinforcement learning, demonstrating successful human tracking and obstacle avoidance. Each paper contributes to the advancement of robotics in dynamic environments.
- Author
- mdthohidks
- Language
- EN