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Physical AI Companies

English articles about physical ai companies at Physical AI Lab.

EASA SORA 2.5: What Changed for Europe’s Specific-Category Drone Approvals

2026-08-252026-08-25 by Physical AI Lab

EASA’s June 2026 Easy Access Rules integrate SORA 2.5 AMC and GM for specific-category UAS operations. SORA structures risk evidence; it is not an approval, and transition treatment depends on the competent authority.

Categories Physical AI Companies

MIT DAAAM Long-Term Robot Memory: Finding Objects with 3D Maps and Language

2026-08-252026-08-25 by Physical AI Lab

DAAAM links objects, 3D space, time, events, and language in a hierarchical 4D scene graph. Its benchmark improvements do not guarantee that a household robot will always find a moved object or preserve privacy.

Categories Physical AI Companies

MIT Masked IRL: How Robots Infer Constraints from Ambiguous Instructions

2026-08-252026-08-25 by Physical AI Lab

MIT’s Masked IRL combines demonstrations with two language-model steps to identify task-relevant state features before inverse reinforcement learning. Its reported gains are bounded experiments, not general instruction understanding.

Categories Physical AI Companies

What Is KUKA AMP? The Operations Layer Connecting AI Agents, Robots and AMRs

2026-08-252026-08-25 by Physical AI Lab

KUKA AMP is presented as an operations layer linking AI-agent intent to robot, AMR, and digital-twin state. Its early Toledo AMR scope does not mean that AMP replaces PLCs, safety control, or every vendor interface.

Categories Physical AI Companies

What Is UR AI Trainer? Collecting Imitation-Learning Data on Industrial Robots

2026-08-252026-08-25 by Physical AI Lab

UR AI Trainer records leader–follower demonstrations with synchronized motion, force, and video. Useful imitation-learning data also needs calibration, failure labels, intervention history, rights, and a separate policy evaluation gate.

Categories Physical AI Companies

DJI O4 Ground Station: What Matters for Unattended Inspection Connectivity

2026-08-252026-08-25 by Physical AI Lab

O4 Ground Station combines 12 antennas, multiple regional bands, gateway or relay modes, and long-range claims. Unattended inspection still needs a full link, backhaul, power, interference, and recovery budget.

Categories Physical AI Companies

Wing and Walmart’s Drone Delivery Expansion: Operating Conditions Behind 1 Million Deliveries

2026-08-252026-08-25 by Physical AI Lab

Wing and Walmart announced seven additional US metro areas and a path toward more than 270 locations in 2027. Current service, rollout plans, Wing’s one-million-delivery milestone, and local address eligibility must be kept separate.

Categories Physical AI Companies

Skydio’s 1,000 Docks and 4 Million Flights: Evidence and Limits of Autonomous Drone Operations

2026-08-252026-08-25 by Physical AI Lab

Skydio reports 1,070 deployed Docks and more than four million company-wide flights. Those milestones establish scale, but not the proportion of fully autonomous missions, availability, incident rate, or customer-level performance.

Categories Physical AI Companies

DJI Agras T55 vs T100: Operating Constraints to Check Before Tank Capacity

2026-08-252026-08-25 by Physical AI Lab

Agras T55 and T100 should be compared as field workflows, not tank-size rankings. Payload, battery rotation, spray and spread rates, terrain sensing, refill travel, and local rules determine useful capacity.

Categories Physical AI Companies

DJI AP100 Parachute and FTS: Their Role in a Matrice 400 BVLOS Safety Case

2026-08-252026-08-25 by Physical AI Lab

DJI’s AP100 combines a parachute, flight-termination sequence, independent sensing and power, and C5/C6 pathways. These mitigations can support a BVLOS safety case, but they do not grant operating approval.

Categories Physical AI Companies
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