Prof. Daniel Rakita — 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. Daniel Rakita at Yale University Computer Science lists motion planning, motion optimization, shared autonomy, human-robot interaction, machine learning as their registered research area.
Research keywords
Recent papers
- I2CD: Direct Image-to-Convex Decomposition for Simulation-Ready Collision GeometryPreprintarXiv (Cornell University) · Oct 2
- Dexterous Tactile World ModelPreprintarXiv (Cornell University) · Sep 28
- AI-powered semantic segmentation model for enhanced ureteral mapping and real-time instrument feedback in robotic colorectal surgeryJournal of Robotic Surgery · Aug 20
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
Jiajun Wu Lab
Stanford University · Computer Science
World model for robot learning: A comprehensive surveyThe International Journal of Robotics Research · Sep 28Sergey Levine Lab
University of California, Berkeley · Electrical Engineering and Computer Sciences
Scaling Empowered AgentsPreprintarXiv (Cornell University) · Oct 9Randall Balestriero Lab
Brown University · Computer Science
AnyGoal: On World Model Generalization Beyond Expert RolloutsPreprintarXiv (Cornell University) · Oct 19
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