Visual tools for the STS sensor

This project will develop computer vision based tools for application to the see through sensor, a new sensor developed at SAIC Montreal, which has the unique capability of acquiring both tactile (touch) and visual information, while in interaction with objects. These tools will allow for new sensing capabilities to be deployed including contact categorization, slip detection, and object handover during in human-robot interaction tasks. The development of these tools will greatly enhance the applicability of the sensor to problems encountered in robotics and in particular, tactile manipulation tasks.

Faculty Supervisor:

Kaleem Siddiqi

Student:

Partner:

Samsung Electronics Canada

Discipline:

Computer science

Sector:

Manufacturing

University:

McGill University

Program: