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Labs / active investigations
Labs / current engineering
Labs documents active investigation before the result becomes a finished product. Stage, milestones, evidence, and blockers remain visible as the work changes.
Collection / published Studio records
2 eligible published records. Lab activity alongside Notes forms the full Ledger.
Explore whether a low-cost, fully open-loop vision-to-IK-to-servo pipeline can reliably perform tabletop pick-and-place using commodity servos, an overhead camera, fiducial markers, and an Arduino, without encoders, force feedback, visual servoing, or a robotics middleware stack.
Nexus explores how an AI system can build a persistent, grounded understanding of software projects, decisions, memories, and personal knowledge instead of relying on temporary conversation history. The research focuses on trustworthy long-term memory, structured context assembly, safe tool execution, and auditable autonomous workflows.
