Speical Session I: Advanced Technology in Spatial Perception and Robust Autonomous Navigation

Organizers:

Assoc. Prof. Weinan Chen, Guangdong University of Technology, China
Prof. Haoyao Chen, Harbin Institute of Technology Shenzhen, China
Assoc. Prof. Haifei Zhu, Guangdong University of Technology, China
Prof. Junjun Wu, Foshan University, China

Submission Guideline:

Please submit your manuscript via EasyChair https://easychair.org/my/conference?conf=eecr2024
please choose Special Session I: Advanced Technology in Spatial Perception and Robust Autonomous Navigation

Introduction:

The field of robotics and autonomous systems has made remarkable progress in recent years. One key aspect of these systems is their ability to perceive and navigate. However, there are still many challenges to be addressed. This special session aims to bring together researchers and practitioners working in this area to discuss and share their latest advancements, findings, and experiences.
As the demand for autonomous systems continues to grow across various domains, including transportation, logistics, agriculture, and healthcare, there is a pressing need to enhance their spatial perception capabilities and ensure robust navigation in complex and dynamic environments. This special session provides a platform for experts to present their cutting-edge research, methodologies, and technological advancements in this field.

The session will cover a wide range of topics, including but not limited to:

• Point cloud segmentation and classification

• Sensor fusion techniques for spatial perception

• Deep learning approaches for scene understanding and object recognition

• Simultaneous Localization and Mapping (SLAM)

• Autonomous exploration and NBV

• Navigation planning and control

• Human-robot interaction for spatial perception and navigation

• Real-time perception and decision-making for autonomous systems

By bringing together researchers, engineers, and industry professionals, this special session aims to foster collaboration, exchange ideas, and explore potential solutions to the existing challenges in spatial perception and robust autonomous navigation. The session will also serve as a valuable platform for networking and knowledge sharing among participants, leading to potential collaborations and future research directions in this exciting and rapidly evolving field.