Multi-agent team coordination in presence of static adversaries aka TCGRE problem (IROS-2023, Best Paper Finalist in Cognitive Robotics).
A delivery-discipline behavior layer for AI agents — turns “the agent says it's done” into “the agent proves it's done”: pre-implementation gate, one backbone + two collaboration forms, evidence-based review, real-environment acceptance. 把「Agent 说做完了」变成「Agent 证明做完了」的交付纪律行为层。
Architected hierarchical multi-agent wargame simulation with strategic planning, tactical agents orchestration, real-time spatial reasoning, and adaptive memory module
A research-grade Python implementation of decentralized multi-agent coordination using auction-based task allocation, designed for autonomous robotics and AI studies.
Local Rules, Global Efficiency: Emergent Coordination on Large-Scale Road Networks. KDD 2026
Deterministic framework for studying coordination in networked autonomous systems under communication, execution, resource, and safety constraints.
A 9-agent AI pipeline that researches, analyzes, plans and executes community development strategies for nonprofits, autonomously, in under 90 seconds, powered by all three Microsoft IQ layers.
Random Graph Generator for Team Coordination on Graphs with Risky Edges and Support Nodes (i.e., TCGRE problem) for papers in IROS-2023, ICRA-2024, IROS-2024, ICRA-2025, JAIR-2025.
Prior-art defensive publication: a DB-backed Task record owns a unit of work and arbitrates concurrent human/AI-agent writes in lieu of git-branch ownership.
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