About Arboria Labs

Arboria Labs is a research organization focused on swarm intelligence and distributed systems for autonomous robotics and interstellar operations. We design algorithms, build tooling, and publish results with an emphasis on correctness, reproducibility, and operational reliability.

We build three core systems that anchor our work. Leviathan Engine is a C++ core for large‑scale agent stepping and structured logging. Gossamer Threaded Intelligence is a Python library of coordination algorithms and metrics. Maneuver.Map provides orchestration and visualization for experiment runs and analysis.

Our research priorities include distributed coordination under delay and loss (DTN‑aware consensus and topology‑aware gossip), task allocation and resource management with measurable guarantees, and verification with benchmarks and end‑to‑end metrics for repeatable evaluation. We also invest in practical interfaces and documentation that enable adoption beyond our lab.

Team

A small, focused group working at the intersection of swarm intelligence, distributed systems, and autonomous robotics.

Chris Adams — Founder, Research Lead

Chris leads Arboria Labs’ research program and engineering of the core toolchain (Leviathan Engine, Gossamer Threaded Intelligence, Maneuver.Map). Background spans distributed systems engineering, simulation infrastructure, and applied machine learning.

• ORCID 
• chris@arborialabs.com
• chrisadams.io 

Brian Nguyen — Research Collaborator

Brian contributes to the coordination algorithms and fault-tolerance work across ICCD and HMA. Focus areas: delay-tolerant networking, CRDT-based state abstractions, market-based task allocation.

Vivek Bakshi — Research Collaborator

Vivek works on emergent-behavior analysis and the phase-transition characterization in the DMB and TF-ACO projects. Focus areas: active matter, criticality in multi-agent systems, statistical signatures of self-organization.

Collaborate

We publish papers, build open tooling, and welcome collaborations with academic groups and industry teams working on related problems. See the Community page for peer labs and programs we follow, and reach out at community@arborialabs.com to discuss partnerships, shared datasets, or student internships.