Nathan Elangovan, PhD Student


Nathan is a PhD candidate in the Department of Mechanical Engineering at the University of Auckland (New Zealand) and member of the New Dexterity research group. His research focuses on the analysis and modelling of human and robot dexterity as well as on the formulation of a design optimization framework for adaptive robot hands.

Publications

[#4 | J #1 | OPEN ACCESS | PDF]
Che-Ming Chang, Lucas Gerez, Nathan Elangovan, Agisilaos Zisimatos, and Minas Liarokapis, "On Alternative Uses of Structural Compliance for the Development of Adaptive Robot Grippers and Hands," Frontiers in Neurorobotics, 2019.

[#3 | C #3 | PDF]
Nathan Elangovan, Anany Dwivedi, Lucas Gerez, Che-Ming Chang, Minas Liarokapis, "Employing IMU and ArUco Marker Based Tracking to Decode the Contact Forces Exerted by Adaptive Hands," IEEE-RAS International Conference on Humanoid Robots, Toronto, Canada, 2019.

[#2 | C #2 | PDF]
Che-Ming Chang, Lucas Gerez, Nathan Elangovan, Agisilaos Zisimatos, and Minas Liarokapis, "Unconventional Uses of Structural Compliance in Adaptive Hands," IEEE International Conference on Robot and Human Interactive Communication (ROMAN), New Delhi, India, 2019.

[#1 | C #1 | PDF]
G. Gao, A. Dwivedi, N. Elangovan, Y. Cao, L. Young, and M. Liarokapis, "The New Dexterity Adaptive, Humanlike Robot Hand," IEEE International Conference on Robotics and Automation (ICRA), 2019.