From passive generation to interactive agents that strategically decide what to sense, when to sense, and how to act.
Generative models have mastered passive generation. But real intelligence is active. It observes, plans, acts, and learns from feedback.
Models that strategically choose what to observe—optimal viewpoints, sensor placement, information seeking.
Continuous replanning based on new observations. Perception and action form a tight feedback loop.
Agents that learn through interaction. Active decision-making transforms passive models into interactive systems.
Leading voices in vision, robotics, and embodied AI
University of Maryland
Stanford University
Stanford University
UC Berkeley
MIT CSAIL
* listed alphabetically by last name
Submit 4-page short or 8-page long papers on world models, active sensing, embodied planning, and related topics. Non-archival, so work in progress is welcome.
Deadline: May 15, 2026
Notifications: May 22, 2026
Lambda generously sponsors compute credits for outstanding research:
listed alphabetically by last name
Location: Room 2A at conference center
Time: June 3rd, morning
Opening Welcome & Introductions
10 min
Invited Talk: Speaker 1
30 min
Invited Talk: Speaker 2
30 min
☕ Coffee Break
15 min
Invited Talk: Speaker 3
30 min
Invited Talk: Speaker 4
30 min
Invited Talk: Speaker 5
30 min
Closing Remarks
Questions about the workshop, submissions, or anything else? Reach out to our contact person.
Jieneng Chen • jchen293@jh.edu