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Personal profile

Biography

Wesley Chan is a researcher at the Department of Electrical and Computer Systems Engineering. He received his Bachelor of Applied Science in Engineering Physics and Master of Applied Science in Biomedical Engineering from the University of British Columbia. He then received his Doctorate in Information Science and Technology from the University of Tokyo. He conducted his Master and Doctoral thesis research on a haptic-based robot object handover controller, and an affordance-focused framework for learning handover grasp configuration from observation and interaction respectively. He was awarded the Japanese Government MEXT scholarship and the Dean's Award for his doctoral research. 

 

 

Research interests

  • Assistive robotics
  • Human-robot interaction
  • Interactive robots
  • Augmented reality-assisted collaborative manufacturing
  • Intelligent systems
  • Outdoor robotics

Research area keywords

  • Assistive Robotics
  • Human-Robot Interaction
  • Augmented Reality
  • Collaborative Robotics
  • Intelligent Systems
  • Home Care Robots
  • Outdoor Robotics

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Research Output 2012 2019

An affordance and distance minimization based method for computing object orientations for robot human handovers

Chan, W. P., Pan, M. K. X. J., Croft, E. A. & Inaba, M., 15 Apr 2019, (Accepted/In press) In : International Journal of Social Robotics. 20 p.

Research output: Contribution to journalArticleResearchpeer-review

Group surfing: a pedestrian-based approach to sidewalk robot navigation

Du, Y., Hetherington, N. J., Oon, C. L., Chan, W. P., Quintero, C. P., Croft, E. & MacHiel Van Der Loos, H. F., 2019, 2019 International Conference on Robotics and Automation (ICRA). Desai, J. P. (ed.). Danvers MA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 6518-6524 7 p. (Proceedings - IEEE International Conference on Robotics and Automation).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Multimodal sensing and active continuous closed-loop feedback for achieving reliable manipulation in the outdoor physical world

Chan, W. P., Mizohana, H., Chen, X., Shiigi, Y., Yamanoue, Y., Nagatsuka, M. & Inaba, M., 1 Jan 2019, In : Journal of Field Robotics. 36, 1, p. 17-33 17 p.

Research output: Contribution to journalArticleResearchpeer-review

A multimodal system using augmented reality, gestures, and tactile feedback for robot trajectory programming and execution

Chan, W. P., Quintero, C. P., Pan, M. K. X. J., Sakr, M., Van der Loos, H. F. M. & Croft, E., 2018, 2018 ICRA Workshop on Robotics in Virtual Reality. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Prediction and Production of Human Reaching Trajectories for Human-Robot Interaction

Sheikholeslami, S., Hart, J. W., Chan, W. P., Quintero, C. P. & Croft, E. A., 1 Mar 2018, Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. Hoffman, G. & Tapus, A. (eds.). New York USA: Association for Computing Machinery (ACM), p. 321-322 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther