Human-guided Task Transfer for Interactive Robots

Speaker: Tesca Fitzgerald , School of Interactive Computing at the Georgia Institute of Technology

Date: Monday, May 13, 2019

Time: 3:00 PM to 4:00 PM

Public: Yes

Location:

Event Type: Seminar

Room Description: Seminar Room D463 (Star)

Host: Julie Shah

Contact: Julie A Shah, julie_a_shah@csail.mit.edu

Relevant URL:

Speaker URL: None

Speaker Photo:
None

Reminders to: robotics@mit.edu

Reminder Subject: TALK: Human-guided Task Transfer for Interactive Robots

Human-guided Task Transfer for Interactive Robots

Abstract:
Adaptability is an essential skill in human cognition, enabling us to draw from our extensive, life-long experiences with various objects and tasks in order to address novel problems. To date, most robots do not have this kind of adaptability, and yet, as our expectations of robots' interactive and assistive capacity grows, it will be increasingly important for them to adapt to unpredictable environments in a similar manner as humans.

In this talk I will describe my approaches to the problem of task transfer, enabling a robot to transfer a known task model to address scenarios containing differences in the objects used, object configurations, and task constraints. The primary contribution of my work is a series of algorithms for deriving and modeling domain-specific task information from structured interaction with a human teacher. In doing so, this work enables the robot to leverage the teacher's domain knowledge of the task (such as the contextual use of an object or tool) in order to address a range of tasks without requiring extensive exploration or re-training of the task. By enabling a robot to ask for help in addressing unfamiliar problems, my work contributes toward a future of adaptive, collaborative robots.

Bio:
Tesca Fitzgerald is a Computer Science PhD candidate in the School of Interactive Computing at the Georgia Institute of Technology. In her PhD, she has been developing algorithms and knowledge representations for robots to learn, adapt, and reuse task knowledge through interaction with a human teacher. In doing so, she applies concepts of social learning and cognition to develop a robot which adapts to human environments.

Tesca is co-advised by Dr. Ashok Goel (director of the Design and Intelligence Lab) and Dr. Andrea Thomaz (director of the Socially Intelligent Machines Lab). Before joining Georgia Tech in 2013, she graduated from Portland State University with a B.Sc. in Computer Science. Tesca is an NSF Graduate Research Fellow (2014), Microsoft Graduate Women Scholar (2014), and IBM Ph.D. Fellow (2017).

Research Areas:
Robotics

Impact Areas:

This event is not part of a series.

Created by Julie A Shah Email at Sunday, May 12, 2019 at 10:57 PM.