Skip to content
Log in
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

Xun Wang

h-index 3 View on Semantic Scholar

We have 2 of 6 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Oct 2026

FoM: Field-of-View-Aware Graph Neural Learning for Min–Max Multi-Robot Patrol Path Planning

Multi-robot patrol path planning is conventionally formulated as the min-max multiple traveling salesman problem (min-max mTSP). Existing formulations typically assume robots must physically visit each target, overlooking their visual perception capabilities. However, in many scenarios, targets are considered covered o...

Bin-Bin Zuo, Xue-Yi Liu, Zi-Jie Zhao et al. · 0 citations
Preprint Sep 2026

Safe Task Planning with Long-Term Graph Memory for Embodied Agents

A novel safe task-planning framework, SafeMem, which constructs and maintains a long-term semantic graph memory of the open and dynamic environment, and substantially improves safe success rates compared to state-of-the-art VLM-driven task planners.

Si-Yuan Li, Tai-Yan Lang, Ao Yan et al. · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.