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

Gang Hua

h-index 11 View on Semantic Scholar

We have 2 of 44 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.

Jul 2026

Integrating Agglomerative Perception with One-step Action Generation for Robotic Manipulation.

Flow2Act is presented, a unified framework that integrates agglomerative perception with a deterministic one-step generative policy and devise a curriculum region-aware mechanism via a Spatial-Grounded State Space Duality architecture, demonstrating significant gains in policy performance, robustness to environmental perturbations, and cross-task real-world applicability.

Sen Wang, Le Wang, Hongcheng Huo et al. · 0 citations
Aug 2026

Action-Controlled Scale-Wise Flow Matching for Embodied World Models.

Experiments across action-conditioned robotic manipulation, visual planning, and model-based reinforcement learning, together with action-free driving video prediction, show that SAMPO++ improves visual prediction quality while providing stronger action alignment, counterfactual accuracy, no-op residual suppression, and long-horizon rollout consistency over strong discrete and continuous baselines.

Sen Wang, Sanpin Zhou, Huaiyi Dong 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.