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

Mohamad Awada

View on Semantic Scholar

2 papers indexed here

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.

#large language models Jan 2027

MAESTRO: Fine-Tuned Multiagent Large Action Model-Based GenAI Assistant Integrating IoT Sensing, Smart Control, and Extended Reality for Human-Building Interaction

The potential of integrating fine-tuned LAM-based agents with structured IoT-enabled middleware and XR-based HBI systems is shown, demonstrating how foundation-model reasoning and actuation can support more intelligent and adaptive HBI workflows.

Oscar Poudel, Rayan H. Assaad, Andrew B. Park et al. · 0 citations
#artificial intelligence Nov 2026

Noise-Invariant Agentic Human-Robot Interaction GenAI System Using a Dual-Encoder Contrastive ASR Architecture and VLMs for Robot Control and Navigation in Acoustically Challenging Jobsites

This paper proposes an HRI agentic artificial intelligence system—integrating a construction domain-specific, noise-robust automatic speech recognition (ASR) agent and a vision-language model (VLM)-based robotic control agent—to reliably transcribe speech in noisy environments and parse instructions for robot navigatio...

Oscar Poudel, Rayan H. Assaad, Mohamad Awada · 0 citations

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