Embedded Files
The Goal Optimization using Learning and Decision-Making (GOLD) lab is part of the Computer Science Department at Tufts University.
The lab consists of students, robots, AIs, and babies.
We develop algorithms that enable virtual agents and robots to be good teammates to people. These algorithms infer the goals and plans of collaborative agents, negotiate different courses of action that will be acceptable to the people around them, and reason about their teammates' preferences, knowledge, and skills.
People
People
Current Members
Osher Elhadad ( 2023-)
Matan Shamir (2023-)
Sveta Paster (2023-)
Ben Nageris (2022-)
Shivprasad Shivratri (2025-)
Sahand Khoshdel (2025-)
Ram Rachum
Past Members
Michaela Levi Richter (Graduated 2025)
Thesis: Semantic Understanding of Stored Household Items for Service RobotsEinav Shpiro (Graduated 2024)
Thesis: Recognition and Identification of Intentional Obstructions in Social NavigationYair Hanina (Graduated 2024)
Thesis: Quantifying Human Rationality in Ad-hoc TeamworkInbal Avraham (Graduated 2023)
Thesis: Shared Control with Black Box Agents using Oracle Queries
Interested in joining GOLD?
Interested in joining GOLD?
Prospective students need to possess strong coding skills, a high level of curiosity, and an interest in combining AI, robotics, and human interaction.
Contact me at reuth.mirsky@tufts.edu
Page updated
Google Sites
Report abuse