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

A. Ikramov

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.

#reinforcement learning Open access Oct 2026

Multi-Level Deep Deterministic Policy Gradient reinforcement learning for safety-constrained trajectory optimization of collaborative industrial robots

Collaborative robots operating in modern manufacturing environments require trajectory planning strategies that simultaneously support efficiency, adaptability, and operational safety. This study proposes a Multi-Level Deep Deterministic Policy Gradient (ML-DDPG) framework for safety-constrained trajectory optimization...

A. Ikramov, S. Ibrayev · 0 citations
Open access 2026

A Vision-Based Error Compensation Method for Accurate Robotic Positioning in Automated Marking

Accurate robotic positioning is essential in automated marking because residual pose error directly shifts the permanent mark. This study presents a one-step vision-based residual error compensation method that measures the displacement between the target and the marking-tool position after the initial robot motion, tr...

Olzhas Olzhayev, A. Ikramov, S. Ibrayev · 0 citations

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