CoRL 2026 Early Career Talk Nomination
We are soliciting nominations for the 2026 CoRL Early Career Spotlights. These spotlights are given to rising stars in robot learning, and we need your input to identify the best people in the field. Nominations are due by July 30 AoE.

Spotlight speakers must have received a PhD and it is generally recommended NOT to nominate individuals that received their PhD more than 10 years ago or received faculty appointments more than 7 years ago. The committee may consider nominations that do not adhere to these timelines, but for such cases please include factors, such as parental leave (or others), that may influence timing and effort in additional comments block at the end of the form.

Multiple nominations are allowed, but please don't self nominate. The CoRL Early Career spotlight is awarded for independent work and impact after the PhD, so please don't nominate people who just completed their PhD.

We strive for diversity and please keep in mind that research impact can be in many forms.

The spotlights will be selected from the nominations by the Early Career Spotlight Committee. The committee reserves the right to contact distinguished members of our community to gather further information about the candidates, especially when we reach the final stage of the selection.
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What is your name (nominator)? *
What is your email address (nominator)? *
Who are you nominating? *
What is the nominee's email address? *
What is the date of their PhD?
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What is the date of their first faculty appointment (if applicable)?
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List three papers of the nominee that best exemplify their research after their PhD
Please provide a link to Nominee's CV (please ensure that the link is publicly accessible) *
If you had to describe in one sentence the quality that makes the nominee stand out from their peers (their "X factor") what would it be? *
Why is your nominee a strong candidate for the spotlight? Remember that spotlight is awarded for independent work and impact after the PhD. The committee will also consider a candidate's support of community, equity, and inclusion for robotics and learning. (1750 character limit which is approximately 350 words)

How has your nominee helped to support community, equity, and inclusion for robotics and learning? (1250 character limit which is approximately 250 words)
Any other additional comments?
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