Prof. Tesca Fitzgerald — Research Profile
Yale University · Computer Science
Graduate application deadlines
Computer Science
PhD in Computer Science
Fall 2027Application deadline
Dec 15, 2026
MS in Computer Science
Fall 2027Application deadline
Jan 2, 2027
Considering this lab for grad school?
Save it to compare side by side with other labs. Jot a one-line note under each paper below — Application prep gathers your notes into an outline for your email to the PI and your statement of purpose. You do the writing; no AI.
What to prepare before emailing a PIAbout
Prof. Tesca Fitzgerald at Yale University Computer Science lists interactive robot learning, cognitive robotics, human-robot interaction, transfer learning, active learning as their registered research area.
Research keywords
Recent papers
- RECALL: Recovery Experience Collection for Active Lifelong Learning in Vision-Language-Action ModelsPreprintarXiv (Cornell University) · Jun 22
- The Simons Collaboration on Ecological Neuroscience: Studying how the brain interacts with the worldNeuron · Jun 9
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Reinforcement Learning in Robotics
Sergey Levine Lab
University of California, Berkeley · Electrical Engineering and Computer Sciences
Measuring Empowerment from Offline Data for Intrinsically Motivated ExplorationPreprintarXiv (Cornell University) · Oct 17Randall Balestriero Lab
Brown University · Computer Science
AnyGoal: On World Model Generalization Beyond Expert RolloutsPreprintarXiv (Cornell University) · Oct 19Benjamin Eysenbach Lab
Princeton University · Computer Science
Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RLPreprintarXiv (Cornell University) · Aug 31
Other labs in this department
- Abraham Silberschatz Lab
database systems, operating systems, Bioscience database systems, storage system, network management, distributed systems
- A. Feder Cooper Lab
Scalable machine learning, Security, Privacy, Machine learning systems, AI policy
- Alex Lew Lab
principled probabilistic reasoning, probabilistic and differentiable programming languages
- Alex Wong Lab
Sensor fusion, unsupervised learning, 3D vision, robust vision under adverse conditions, medical image analysis
- Andre Wibisono Lab
algorithms for machine learning, optimization, sampling, game dynamics
- Anurag Khandelwal Lab
Operating Systems, Distributed Systems, Databases, Computer Networks