Ziang Guo

According to our database1, Ziang Guo authored at least 14 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
GSDrive: Reinforcing Driving Policies by Multi-mode Trajectory Probing with 3D Gaussian Splatting Environment.
CoRR, April, 2026

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing.
CoRR, March, 2026

Listen, Look, Drive: Coupling Audio Instructions for User-aware VLA-based Autonomous Driving.
CoRR, January, 2026

2025
VDRive: Leveraging Reinforced VLA and Diffusion Policy for End-to-end Autonomous Driving.
CoRR, October, 2025

AnywhereVLA: Language-Conditioned Exploration and Mobile Manipulation.
CoRR, September, 2025

VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers.
CoRR, February, 2025

SwarmVLM: VLM-Guided Impedance Control for Autonomous Navigation of Heterogeneous Robots in Dynamic Warehousing.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Industry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

METDrive: Multimodal End-to-End Autonomous Driving with Temporal Guidance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance.
CoRR, 2024

Co-driver: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes.
CoRR, 2024

HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes.
Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024


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