Project updates
Notes on research, design, experiments, and hardware.
ECITON-R: From a Local Decision to a Delivered Message
Direct-message decisions now run in the interactive simulator, the Node PCB design has progressed, and cooperative sensing is the next physical demonstration.
ECITON-R and the Local AI Direction
Small local models for useful robot communication, the ECITON-R Node hardware vision, and the next demonstration I want to build.
One robot, its own map
Swarm Lab 0.8.0 adds obstacle discovery, persistent local maps, and routes based on what one robot has actually observed.
Building a swarm that can coordinate
Task claims, gossip, temporary coordinators, and the next step toward inspection missions and local learning.
Swarm Lab: seeing the swarm in motion
A place to change the rules, follow individual robots, and see how local information shapes the swarm.
How ECITON-R helps robots communicate
What goes into an ECITON-R Node, what comes out, and what the robot still controls.
Project foundation
Defining the research boundary, system architecture, and evidence rules before implementation begins.
The inspiration
A few references that point ECITON-R toward local coordination, varied roles, and resilient teams.