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Nan Liang
Nan Liang
PhD student, University of Toronto
Verified email at mail.utoronto.ca
Title
Cited by
Cited by
Year
Learning-based inverse kinematics from shape as input for concentric tube continuum robots
N Liang, RM Grassmann, S Lilge, J Burgner-Kahrs
2021 IEEE International Conference on Robotics and Automation (ICRA), 1387-1393, 2021
122021
A meta-analysis on remote HRI and in-person HRI: What is a socially assistive robot to do?
N Liang, G Nejat
Sensors 22 (19), 7155, 2022
82022
A dataset and benchmark for learning the kinematics of concentric tube continuum robots
RM Grassmann, RZ Chen, N Liang, J Burgner-Kahrs
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
72022
Dances with Social Robots: A Pilot Study at Long-Term Care
Y Li, N Liang, M Effati, G Nejat
Robotics 11 (5), 96, 2022
32022
In-person vs Remote HRI: A Comparative Study of Robot Facilitated Dance with Older Adults in Long-term Care
N Liang, Y Li, G Nejat
2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids), 1-7, 2023
2023
Learning-based Methods for Concentric Tube Continuum Robots Modeling and Shape Estimation
N Liang
University of Toronto (Canada), 2021
2021
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