Robots often learn from historical experience collected under older controllers and physical conditions. When tasks, hardware or environments change, that data can become misleading. Researchers developed Occupancy-Matching Policy Optimization (OMPO), which anchors large replay buffers to a small set of recent interactions. Across locomotion, transfer, manipulation and a real-robot test, OMPO improved stability, sample efficiency and adaptation.

Shaft resistance of large-diameter bored piles is commonly estimated using empirical adhesion (α) and friction (β) factors, but their values vary widely and remain poorly defined for intermediate geomaterials (IGMs). In a new study, researchers developed field-calibrated empirical correlations by back-analyzing 20 instrumented static load tests. The proposed equations improve prediction of shaft resistance in clay, sand, and IGMs, enabling more reliable and economical foundation design in soil–rock transition environments.

Researchers say they have developed four high-octane gasoline fuels by blending petroleum-derived fuel components with renewable additives.

Announcing a new publication from Opto-Electronic Technology; DOI   10.29026/oet.2026.260013.