Tanaka Akiyama
tanaka.akiyama[at]mail.mcgill.ca
About
Tanaka completed her Bachelor's degree in Electrical and Computer Engineering at Dalhousie University and my Diploma of Engineering at Saint Mary’s University, in Halifax, Nova Scotia.
Her interest in Human-Robot Interaction (HRI) stems from her hands-on experience in researching autonomous robots and the potential of technology to enhance human lives. Through Mitacs Globalink, she served as a Research Assistant in France to create a Hardware-in-the-loop simulator for an autonomous sailboat. Through NSERC USRA, she worked on developing a vision system for an autonomous retail robot. Outside of her research, she Co-Founded the Dalhousie Autonomous Underwater Vehicle Team and Co-Chaired the IEEE Student Branch. She also participated on engineering design teams including the Dalhousie Space Systems Lab and the Microtransat Autonomous Sailboat Team. She has also completed Co-op work terms in engineering positions at Lockheed Martin Canada, Meta Materials Inc., and Katchi Technologies.
Outside of academics, she enjoys playing soccer and tennis, playing music, drawing, and painting.
Projects
Publications
Perspectives on Robotic Systems for the Visually Impaired
Wong, Christopher Yee, Rahatul Amin Ananto, Tanaka Akiyama, Joseph Paul Nemargut, and AJung Moon. "Perspectives on Robotic Systems for the Visually Impaired." (2024).
A Hardware-in-the-Loop Simulator to Optimize Autonomous Sailboat Performance in Real Ocean Conditions
Akiyama, Tanaka, Kostia Roncin, and Jean-Francois Bousquet. 2023. "A Hardware-in-the-Loop Simulator to Optimize Autonomous Sailboat Performance in Real Ocean Conditions" Journal of Marine Science and Engineering 11, no. 6: 1104. https://doi.org/10.3390/jmse11061104
An Engineering Design Approach for the Development of an Autonomous Sailboat to Cross the Atlantic Ocean
Akiyama, Tanaka, Jean-Francois Bousquet, Kostia Roncin, Graham Muirhead, and Alexandra Whidden. 2021. "An Engineering Design Approach for the Development of an Autonomous Sailboat to Cross the Atlantic Ocean" Applied Sciences 11, no. 17: 8046. https://doi.org/10.3390/app11178046