Industrial arms
Decision logic and motion planning for fixed base manipulators in industrial cells.
One Autonetics builds the core software layers that let intelligent machines perceive, decide, and coordinate at scale, in the real world, under real constraints.
Autonomy is a stack, not a feature. We design the layers underneath. That is where correctness compounds and shortcuts decay.
We treat each problem as if no convention exists yet. In autonomy, most do not.
The hard problems sit beneath the application surface. That is where we focus.
Systems we build today must compose cleanly with systems that do not yet exist.
Production autonomy fails quietly. We optimize for the failure modes you cannot see.
Our work spans the full breadth of intelligent physical machines, from articulated industrial arms to bipedal humanoids.
Decision logic and motion planning for fixed base manipulators in industrial cells.
Coordination and control for collaborative arms operating safely alongside people.
Navigation, perception, and fleet logic for autonomous mobile platforms.
Flight stack and coordination layers for unmanned aerial systems and drone swarms.
Whole body control and high level reasoning for general purpose humanoid platforms.
Four interlocking domains. Each requires the other. None is solved in isolation.
Software substrates for autonomous decision making, from control logic to planning under uncertainty.
Orchestration layers that let distributed machines operate as a coherent fleet rather than as isolated agents.
Abstractions that capture physical environments accurately enough to be reasoned about and acted upon.
Performance, safety, and resilience treated as primary engineering concerns rather than afterthoughts.
Autonomous machines are becoming unavoidable. Without strong software foundations, they remain fragmented, brittle, and difficult to scale.
The next phase of automation will be defined by software that allows machines to operate together rather than in isolation.
If you are working on advanced intelligent systems or large scale automation challenges, we would like to hear from you.