Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models-Reference-Cited by-同舟云学术

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Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models

Published:2024-05-13 Issue: Volume:41 Page:7867-7873
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Zhang Zhen¹,Lin Anran²,Wong Chun Wai¹,Chu Xiangyu¹,Dou Qi²,Samuel Au K. W.¹

Affiliation:

1. The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering

2. The Chinese University of Hong Kong,Department of Computer Science and Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610751.pdf?arnumber=10610751

Reference36 articles.

1. Safe Robot Navigation Via Multi-Modal Anomaly Detection

2. Safe Robot Navigation in a Crowd Combining NMPC and Control Barrier Functions

3. GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments

4. Obstacle Avoidance through Gesture Recognition: Business Advancement Potential in Robot Navigation Socio-Technology

5. FollowMe: Person following and gesture recognition with a quadrocopter

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