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#modular-architecture News & Analysis

5 articles tagged with #modular-architecture. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

5 articles
AIBullisharXiv – CS AI · May 287/10
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Turning Video Models into Generalist Robot Policies

Researchers present VERA, a decoupled approach to robot control that separates video prediction from action execution using inverse dynamics models. Rather than fine-tuning video models with action labels, the method keeps the video planner unchanged and trains embodiment-specific models to translate predicted frames into robot actions, enabling zero-shot cross-embodiment generalization.

AIBullisharXiv – CS AI · Jun 96/10
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MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution

MetaEvo is a new framework that enables large language model-based agents to continuously improve through task experience by focusing on learning mechanisms rather than just memory storage. The two-stage approach combines preference-based optimization with modular architecture to help AI agents develop abstract principles and enhance reasoning capabilities over time.

AINeutralarXiv – CS AI · Jun 36/10
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Toward a Modular Architecture for Embedded AI Agent Systems at the Edge

Researchers propose a modular reference architecture for deploying AI agents on resource-constrained embedded devices, combining on-device compressed neural networks with cloud-based small language models. The framework introduces a governance layer for safety and observability across distributed autonomous systems, addressing the gap between real-time control and agentic reasoning in edge computing environments.

AINeutralarXiv – CS AI · May 76/10
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Modular Reinforcement Learning For Cooperative Swarms

Researchers propose a modular reinforcement learning approach to address memory constraints in cooperative robot swarms. By decomposing spatial interaction states into separate learning procedures rather than representing combinatorial states, the method enables computationally-limited robots to learn effective collective behaviors while maintaining independent learning processes.

AINeutralarXiv – CS AI · May 46/10
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InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction

InfantAgent-Next is a multimodal AI agent that combines tool-based and vision-based approaches in a modular architecture to interact with computers across text, images, audio, and video. The system achieves 7.27% accuracy on OSWorld benchmarks, outperforming Claude's Computer Use, and demonstrates broad applicability across vision-based and general benchmarks.

🧠 Claude