Sotabase

Career

· Senior ML Robotics Engineer II, Cruise2025–
· Senior ML Robotics Engineer, Cruise2022–2025
· Postdoctoral Research Associate, Carnegie Mellon University2021–2022
· Research Intern, Honda Research Institute USA, Inc.2018–2018
· Research Assistant, Carnegie Mellong Univeristy Robotics Institute2016–2021
· Doctor of Philosophy - PhD, Robotics, 4.0, Carnegie Mellon University2016–2021
· Master’s Degree, Computer Science, 4.0, Worcester Polytechnic Institute2013–2015
· Research Assistant, Worcester Polytechnic Institute2013–2016
· Bachelor of Science (B.S.), Computer Software Engineering, 3.9, University of Tehran2009–2013
· Diploma, Mathematics and Physics Discipline, Farzanegan High School (National Organization for Developing Exceptional Talents)2005–2009

Publications (19)

Interactive Hierarchical Task Learning from a Single Demonstration
IEEE/ACM International Conference on Human-Robot Interaction · 2015
108
cited
Simultaneous learning of hierarchy and primitives for complex robot tasks
Autonomous Robots · 2018
30
cited
Model-Based Adaptation for Robotics Software
IEEE Software · 2019
27
cited
Towards Robot Adaptability in New Situations
AAAI Fall Symposia · 2015
19
cited
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals
IEEE International Conference on Robotics and Automation · 2019
12
cited
Collaborative Learning of Hierarchical Task Networks from Demonstration and Instruction
AAAI Fall Symposia · 2014
11
cited
Learning Partial Ordering Constraints from a Single Demonstration
IEEE/ACM International Conference on Human-Robot Interaction · 2014
8
cited
Robot Task Interruption by Learning to Switch Among Multiple Models
International Joint Conference on Artificial Intelligence · 2018
7
cited
Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution
Big Data · 2016
6
cited
What's in a primitive? Identifying reusable motion trajectories in narrated demonstrations
IEEE International Symposium on Robot and Human Interactive Communication · 2016
5
cited
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time
International Conference on Automated Planning and Scheduling · 2020
4
cited
Exploration with Expert Policy Advice
2019
2
cited
Identifying reusable primitives in narrated demonstrations
IEEE/ACM International Conference on Human-Robot Interaction · 2016
2
cited
Simultaneous Learning of Hierarchy and Primitives (SLHAP) for Complex Robot Tasks
2017
2
cited
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time
arXiv.org · 2021
2
cited
Waiting Tables as a Robot Planning Problem
arXiv.org · 2021
1
cited
FOCUS: BUILDING LONG-LIVED ADAPTIVE SYSTEMS
2019
SLHAP: Simultaneous Learning of Hierarchy and Primitives
IEEE/ACM International Conference on Human-Robot Interaction · 2017
When Should a Service Robot Switch Tasks ? A Learning-Based Approach for Interrupting Task Execution
2018
Sotabase