Kodama raises $7M to bring robotics to forestry
THE SO WHAT
Teleoperated and data-rich logging equipment is a bridge strategy—getting robots into forests now while collecting the trajectories needed for future autonomy. If you touch heavy equipment or extractive industries, assume this pattern: remote operation first, autonomy later, with data as the real asset.
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Robotics & AutonomyDaimon Robotics building the infrastructure layer for tactile intelligence
An infra layer that ties tactile sensors, real-world data collection, sim, and models is a bet that touch becomes as central to robots as vision is to self-driving. If you run physical operations, start mapping tasks where force feedback and fine manipulation matter—those are the first candidates for this kind of stack once it matures.
Robotics & AutonomyAI companies are coming for the plumbers
Offering free plumbing and HVAC repairs across multiple cities in exchange for sensor-rich recordings is a data land grab for robotics training—field service work is being converted into labeled trajectories. If you operate in skilled trades, assume your workflows are on someone’s training roadmap and start mapping which tasks are defensible vs. codifiable.
Robotics & AutonomyThe Robot I Didn’t Expect to Build
Digit 5 being framed for “tens of thousands” of humanoid workers is a volume signal—humanoids are shifting from R&D artifacts to planned line items in warehouse and logistics ops. If you run high-throughput facilities, you should be mapping tasks that can tolerate bipedal variability and starting vendor evaluations before labor contracts and layout decisions lock you in.
Robotics & AutonomyA guide to everything happening at RoboBusiness 2026
RoboBusiness 2026’s packed agenda is less about one announcement and more about the density of industrial, logistics, and humanoid players in one place. If robotics is on your 3–5 year roadmap, this is the kind of event where you can shortcut six months of vendor discovery into two days—send someone with a clear shopping list.