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

Danilo Menegatti

h-index 9 View on Semantic Scholar

We have 1 of 48 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.

Conference Jul 2026

A 6-DOF Deep Reinforcement Learning Architecture for Autonomous Debris Capture and Orbit Transfer

While Deep Reinforcement Learning (DRL) offers robust real-time control for Active Debris Removal (ADR), current literature often assumes idealized dynamics and isolated mission segments. This paper presents an end-to-end 6 Degrees of Freedom (6-DOF) Guidance, Navigation, and Control (GNC) architecture using Proximal P...

Federico Falconi, Kirolos Romany Anwar Kamel, Danilo Menegatti et al. · 0 citations

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