Ryan Lindeborg
I’m a Research Affiliate at MIT CSAIL, where I work with Will Shen, Nishanth Kumar, Leslie Kaelbling, and Tomás Lozano-Pérez, and a master’s student at USC, where I work with Abrar Anwar, Jesse Zhang, and Jesse Thomason. My research interests are in robot learning and aligning robot behavior with human intent.
Previously, I developed large-scale robotic systems at Amazon Robotics and graduated from Harvard.
Research
- Anticipating Unintended Robot Behaviors with Side Effect CriticsSpotlight Presentation, Rethinking Safety Workshop, RSS 2026We study side effect prediction for robotic manipulation, aiming to anticipate unintended changes before they occur, so the robot can stop, resample, or defer to a human. We train a side effect critic, initialized from a pre-trained vision-language action (VLA) model, that predicts whether given action chunks will cause a side effect before the actions are executed.
- TiPToP: A Modular Open-Vocabulary Robot Manipulation System That PlansFM4RoboPlan Workshop, RSS 2026TiPToP is a modular manipulation system that integrates pre-trained foundation models with a GPU-accelerated Task and Motion Planner to solve tasks directly from RGB images and natural language.