Martijn IJtsma is a PhD student in the Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. Martijn’s research interest include human-robot/automation teaming and the design of automation support for decision-making in complex work environments.
Martijn’s research focuses on the use of computational simulation to study robot-human function allocation for future manned space missions. He currently works on a NASA funded project called “Objective Function Allocation for Human-Automation/Robotic Interaction using Work Models that Compute”. The goal of this project is to develop an objective method for determining the optimal function allocation between astronauts and robots for future manned space exploration missions.
Prior to joining the Cognitive Engineering Center (CEC) as a PhD student, Martijn received his BSc degree in Aerospace Engineering with honor in 2013, with a minor in Management, and his MSc degree in Aerospace Engineering with honor in 2016, both at the Delft University of Technology (TU Delft) in the Netherlands. His MSc thesis work was on the development of an adaptive automation system to support air traffic controllers’ decision-making. In 2014, Martijn was an intern at the CEC, where he worked on the NASA funded project “Scenario Based Methods for Verification of Authority and Autonomy”. During his studies in Delft, Martijn had several teaching assistant jobs, assisting students in multiple undergraduate aerospace engineering classes and design projects.
In his free time, Martijn likes to play the piano. During his studies in Delft, he was the pianist and chair of the Groover Big Band, a semi-professional student big band that won the title of Best Student Big Band in the Netherlands. He also likes to travel and listen to classical and jazz music.
NASA’s future missions will push the bounds of human-space exploration and challenge the mission designers and engineers to create automated systems that will enable the joint human-automation teams to operate more autonomously as they move further from terrestrially based mission control and the time lag of communication becomes a challenge.
Objective Function Allocation Method for Human-Automation/Robotic Interaction using Work Models that Compute
Future manned space missions will require astronauts to work with a variety of robotic systems. To develop effective human-robot teams, NASA needs objective methods for function allocation between humans and robots. This study develops an objective methodology for function allocation between humans and robots for future manned space missions. Some problems that need to be addressed in function allocation include: (a) monitoring of agents, (b) agents waiting on other agents (idle time), (c) high task load of agents, (d) excessive amount of communication required.