VQV Signal

ROBOTS & HARDWARE WATCH TECHNICAL

CoRL 2026 opens in Austin with robot-learning papers and keynotes

According to a post on X by @berkeley_ai, the Conference on Robot Learning runs November 9 to 12 at the JW Marriott and Hilton Austin. Berkeley AI Research says Negar Mehr will give an Early Career Keynote alongside the headline speakers. Papers are already appearing, including Weirui Ye's EPO, which lets a robot planner choose the right skill and goal at control rate. The post expects a wave of robot-learning results and launches during the conference week.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-08T06:20:00+00:00 Detected 2026-11-08T18:24:12+00:00
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According to a post on X by @berkeley_ai, the Conference on Robot Learning runs November 9 to 12 at the JW Marriott and Hilton Austin. Berkeley AI Research says Negar Mehr will give an Early Career Keynote alongside the headline speakers. Papers are already appearing, including Weirui Ye's EPO, which lets a robot planner choose the right skill and goal at control rate. The post expects a wave of robot-learning results and launches during the conference week.

AI-assisted summary based on the listed source.

The Conference on Robot Learning runs Nov 9–12 at the JW Marriott and Hilton Austin, and Berkeley AI Research says Negar Mehr will give an Early Career Keynote alongside the headline speakers. Papers are already landing, such as Weirui Ye’s EPO, which lets a robot planner pick the right skill and goal at control...

Researchers and robotics teams can use the conference program and early papers to track which methods for robot planning and skill selection are gaining attention. Companies building robot software may watch for launches tied to the event. The post itself is a social update, so the event details should be checked against the official conference program.

Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.

Signal Strength 95% Technical label WATCH Public Interest 39 Category ROBOTS & HARDWARE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 36 Novelty Interest Score 94 Consequence Score 30 Curiosity Score 32 Shareability Score 51

VQV surfaced this signal because it is recent, relevant to Robotics, connected to Scobleizer News Pulse (X).