Research
Removing the need for human demonstrations would ease one of the main data bottlenecks in training robots.
Robotics & Automation News·2026-10-16
Research
Vision-only robot models struggle when a grasp or object is hidden. Adding touch and memory targets exactly the reliability gap that holds back real deployments.
Robotics & Automation News·2026-10-14
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Software upgrades to autonomy, shipped years after launch, are what extended this robot's useful range. That lesson carries over to robots in the field on Earth.
IEEE Spectrum·2026-10-13
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Body parts that can do more than one job point to simpler, cheaper robots for confined or awkward spaces.
IEEE Spectrum·2026-10-08
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If video-pretrained policies scale as claimed, the robot-data bottleneck eases, and open weights let labs test that claim themselves.
The Robot Report·2026-10-02
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One-video, in-context task acquisition is the demo the whole robot-foundation-model field is chasing — and no benchmark score or deployment count has been published against it yet.
The Robot Report·2026-08-31
Research
Where skilled-operator shortages bite hardest, closing the training gap at the interface is a faster fix than replacing the operator.
New Atlas·2026-08-21
Research✓ verified
A funded, dated application window for field robotics — concrete money on the table for teams building automation outside the warehouse.
Robotics & Automation News·2026-08-04
Research
Construction is becoming the proving ground where robotics research meets an acute real-world labor gap — with university pipelines now funded to industrialize it.
Autodesk·2026-08-04
Research✓ verified
Whole-body control plus few-hour adaptation to new hardware is what turns humanoid demos into deployable platforms — the robotics stack is consolidating around foundation models.
Google DeepMind·2026-07-30
Research
A concrete answer to "what are open vision models actually for" — general-purpose perception, on-device, inside somebody’s daily mobility.
Meta AI·2026-07-27
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Physical AI has no internet-sized corpus to scrape, so the unit economics of annotation — not model architecture — is what decides how fast robots get good.
TechCrunch·2026-07-26
Research
Retraining per gripper is the tax that keeps robot deployments bespoke; a model that transfers across hardware is what turns a pilot into a fleet.
The Robot Report·2026-07-24
Research✓ verified
Brain-computer interfaces have mostly lived in research demos and rehab clinics; a sub-200ms decode loop that plugs into off-the-shelf robots is what turns "thought control" from a lab trick into a control scheme other robotics teams can actually build on.
The Robot Report·2026-07-20
Research
A robot policy that works in a demo can fail in the world — shared, large-scale evaluation in simulation is the missing benchmark layer physical AI needs before it is trusted off the lab floor.
The Robot Report·2026-07-14
Research
When a frontier lab puts its vision-language-action models directly in startups' hands, embodied AI stops being a lab demo and starts becoming an ecosystem — the same pattern that scaled language-model apps.
Google DeepMind·2026-06-09