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Massachusetts Institute of Technology

Realtime state estimation for contact manipulation

Abstract

dc:description.abstract

In this thesis, we develop a real-time state estimation system to recover the pose and contact state of an object relative to its environment. The capability to make such estimations is important for a controller to adequately react to uncertainties in a manipulation task. We propose a framework that combines tactile and visual sensing to improve the accuracy and robustness. Visual sensing is versatile and non-intrusive but suffers from occlusions and limited accuracy, especially with regard to tasks involving contact. Tactile sensing (including contact and force) is local but provides accuracy and robustness to occlusions. The framework uses online estimation techniques to fuse kinematic measurements made by a robot, contact geometry of the object and the environment, and visual measurements. In a complex contact task such as insertion, the contact formations are hard to resolve directly. We propose a data-driven method to assess the contact formation, which is then used in real time by the state estimator. We apply our framework to two iconic tasks in robotic manipulation: planar pushing and object insertion. We evaluate the algorithm in a setup instrumented to provide ground truth. The experiments show that our approach provides an accurate and robust estimation for the studied manipulation tasks.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yu, Kuan-Ting, Ph. D. Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • Alberto Rodriguez.

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/1721.1/120369
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/120369

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

Yu, Kuan-Ting, Ph. D. Massachusetts Institute of Technology. Realtime state estimation for contact manipulation. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120369