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Massachusetts Institute of Technology

Motion tracking with computer vision

Abstract

dc:description.abstract

In the Mechatronics laboratory, work is being done to develop methods for robot collision avoidance. A vital component of the project is motion detection and tracking. Currently, 3d-imaging software and hardware are employed, but this technique carries the drawbacks of blind spots in the environment. Since the camera is placed directly above the robot, there are blind spots underneath the robot, which are a major problem. The idea is for the robot to work side-by-side to a human counterpart, which would allow for quicker assembly of parts. But, with the current visual system, the robot would be unable to detect limbs that may maneuver underneath its linkages. This is an obvious problem. In this thesis, an automated rotary vision system attachable to each linkage of the robot is being proposed. By attaching cameras directly to the robot, we will have the increased ability to eliminate blind spots and detect objects in the environment. The proposed assembly involves a four-piece clamp-on shaft collar. Two parts will clamp to the linkages while the other two clamp around enabling free rotation. In testing, this proposed solution was able to track and detect, but it has drawbacks of increased weight to linkages and speed of image processing. Suggestions for improving upon the device are outlined. Overall, this device shows much promise for the Optical Assembly Station.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Clayton, Tyler (Tyler T.)
Advisor dc:contributor.advisor
  • Kamal Youcef-Toumi.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/109687
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/109687

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Clayton, Tyler (Tyler T.). Motion tracking with computer vision. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/109687