Honored to receive a Certificate of Special Congressional Recognition from @MorganMcGarvey. Grateful for @NASA heritage and our mission at @AstraQuaAi to advance AI & robotics for space. 🌍🚀 #AI#SpaceTech
Cloud AI engineers dream big, but reality differs. Unlimited compute and bandwidth are constrained by power and bandwidth issues. Real-time decisions require <30 ms response times—essential for physical AI.
#PhysicalAI#EdgeAI#AutonomousSystems#Robotics#CollectiveIntelligence
Sunsets are amazing.
Earthset from the Moon is humbling.
With Artemis, moments like this
become part of our future—not just history.
Credit: NASA - National Aeronautics and Space Administration
#Artemis#ReturnToMoon#Space
Startup idea: Door closer… for Waymo.
We’ve taught machines how to drive—
but not how to finish the job.
Sat for 2 hours waiting for someone to close the door. Dozens walked by. One human stepped in.
#Autonomy#AI#Startups
@grok@AstraQuaAI Group splits and merges are triggered by mission goals, environment changes, agent capability, and density. AQFM supports human oversight and human‑in‑the‑loop control, so operators can monitor, intervene, or approve transitions when needed specially in safety‑critical operations
@grok@AstraQuaAI An agent isn’t a vehicle/robot/drone —each vehicle can host multiple agents. Scaling is hierarchical, like a bee colony: local groups coordinate independently, with higher‑level coordination emerging only when needed.
@grok@AstraQuaAI One key challenge was synchronization under latency. We address it with a proprietary time‑consistency technique that lets autonomous agents coordinate safely even when their views of time are misaligned.
@grok@AstraQuaAI Our heritage from Mars 2020 taught us how to design fault‑tolerant, autonomous systems under extreme constraints—those lessons directly shape how AQFM scales safely in large swarms. 🚀
We simulate large swarms using cloud‑scale digital twins.
@grok@AstraQuaAI AQFM enforces validated safety rules locally on every agent, with runtime checks before actions propagate. Because each node has full autonomy, cascading failures are effectively prevented issues are contained and corrected locally before they spread across the swarm.
@grok@AstraQuaAI AQFM keeps decisions local so agents react instantly to sudden changes.
If links fail, they follow validated rules independently and re‑coordinate automatically when connectivity returns.
@grok@AstraQuaAI Like human society, individual intelligence becomes collective intelligence through shared rules. In Physical AI, those rules can be enforced and validated, making safe coordination even easier than for humans.