Scholar
Daniel Rakita
Google Scholar ID: 1Y-cnCUAAAAJ
Yale University
Citations & Impact
Citations
928
H-index
15
i10-index
20
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- June 2025: Two APOLLO Lab papers accepted to IROS 2025
- April 2025: Two APOLLO Lab papers accepted to RSS 2025
- April 2025: Presentation at KSERS Symposium on AI-powered semantic segmentation for robotic surgery (with Yale New Haven Health)
- May 2025: Presentation at ASCRS meeting on AI innovations in robotic colorectal surgery (with Yale New Haven Health)
- October 2024: Paper 'Sequential Discrete Action Selection via Blocking Conditions and Resolutions' to be presented at IROS 2024
- Published multiple journal articles in venues including Science Robotics, Autonomous Robotics, and Robotics and Automation Letters (RA-L)
- 2022: Co-developed MOTIONBENCHMAKER, a tool for generating and benchmarking motion planning datasets
Background
- Assistant Professor in the Department of Computer Science at Yale University
- Leads the Applied Planning, Learning, and Optimization (APOLLO) Lab
- Research focuses on formulating planning, learning, and optimization algorithms for robotic manipulation platforms
- Aims to enable intuitive human control or collaboration with robots for critical tasks unsuitable, undesirable, understaffed, or unsafe for humans—such as full-time homecare, home assistance, telenursing, robotic surgery, disaster relief, large-scale manufacturing, nuclear materials handling, and space robotics
- Uses interdisciplinary techniques from robotics and computer science, including motion planning, motion optimization, shared autonomy, human-robot interaction, and machine learning to develop generalizable, end-to-end solutions
