VQV Signal

ROBOTS & HARDWARE WATCH TECHNICAL

CoRL 2026 posts keynote times, with Fei-Fei Li and AMD's Lisa Su on Wednesday

According to a post on X by @corl_conf, the Conference on Robot Learning has published its keynote schedule for its Austin event, with times given in Central. Wolfram Burgard is scheduled to speak on challenges to realizing embodied AI on Monday at 3:30 PM. Russ Tedrake, now CEO of Walden Robotics, is listed for a talk on learning in factories on Tuesday at 3:30 PM. Fei-Fei Li is set to present on the Atlas world model on Wednesday at 3 PM, followed by a fireside chat with AMD's Lisa Su.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-08T17:45:00+00:00 Detected 2026-11-09T02:24:23+00:00
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According to a post on X by @corl_conf, the Conference on Robot Learning has published its keynote schedule for its Austin event, with times given in Central. Wolfram Burgard is scheduled to speak on challenges to realizing embodied AI on Monday at 3:30 PM. Russ Tedrake, now CEO of Walden Robotics, is listed for a talk on learning in factories on Tuesday at 3:30 PM. Fei-Fei Li is set to present on the Atlas world model on Wednesday at 3 PM, followed by a fireside chat with AMD's Lisa Su.

AI-assisted summary based on the listed source.

The Conference on Robot Learning posted its keynote schedule for Austin (times Central): Wolfram Burgard on challenges to realizing embodied AI on Mon at 3:30 PM, Russ Tedrake (now CEO of Walden Robotics) on learning in factories on Tue at 3:30 PM, and Fei-Fei Li on the Atlas world model plus a fireside chat with...

Researchers and developers in robot learning can use the schedule to plan which sessions to attend, since it covers embodied AI, factory learning and world models across three days. The Wednesday slot pairs a research presentation with an AMD executive. The available text is truncated, so the full context of the post should be checked on the conference's own channels.

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

Signal Strength 94% Technical label WATCH Public Interest 27 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 0 Novelty Interest Score 70 Consequence Score 30 Curiosity Score 48 Shareability Score 41

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