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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Lijun Wang

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2 papers indexed here

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Open access Aug 2026

P‐4.9: A Study on Performance Improvement of Rover‐SLAM in Dynamic Environments Based on YOLOv8 Instance Segmentation

An improved VSLAM method with the fusion of deep learning and geometric principles is proposed: it integrates SuperPoint with LightGlue to enhance the stability of feature point extraction and matching, combines the YOLOv8 and Farneback algorithms to eliminate dynamic feature points, and optimizes both the velocity mod...

S. Cao, Zhengping Li, Lijun Wang · 0 citations
Review Open access Aug 2026

P‐4.28: Reinforcement Learning‐Based Embodied Intelligence Training

A systematic review of reinforcement learning ‐ based simulation training frameworks for embodied intelligence focuses on the fundamental principles of reinforcement learning, domain randomization strategies, and their roles in facilitating sim‐to‐real transfer.

Cheng-Yang Zhang, Rui-Le Zhang, Lijun Wang · 0 citations

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