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Andrew A. Goldenberg

Researcher at University of Toronto

Publications -  338
Citations -  8769

Andrew A. Goldenberg is an academic researcher from University of Toronto. The author has contributed to research in topics: Robot & Control theory. The author has an hindex of 46, co-authored 338 publications receiving 8448 citations. Previous affiliations of Andrew A. Goldenberg include University Health Network & University of Cambridge.

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Journal ArticleDOI

Application of a Nonlinear Hammerstein-Wiener Estimator in the Development and Control of a Magnetorheological Fluid Haptic Device for Robotic Bone Biopsy

Elnaz Shokrollahi, +4 more
- 01 Dec 2018 - 
TL;DR: In this paper, a force generator module (FGM) based on magnetorheological fluid (MRF) was developed to provide force-feedback information for applications in tele-robotic bone biopsy procedures.
Proceedings ArticleDOI

A New Control Scheme For Bilateral Teleoperating Systems: Performance Evaluation And Comparison

Y. Strassberg, +2 more
TL;DR: This paper evaluates the performance of a new control scheme for bilateral master-slave teleo- perator and compares it to pub- lished control methods by using a mathematical cri- terion based on the two-port network model.
Journal ArticleDOI

Landmine detection using an autonomous terrain‐scanning robot

Homayoun Najjaran, +1 more
- 01 Jun 2005 - 
TL;DR: A dual‐arm mobile manipulator that can autonomously scan natural terrain using a typical handheld landmine detector in a manner similar to a human operator is described.
Proceedings ArticleDOI

Robust damping control of wheeled mobile robots

Sheng Lin, +1 more
TL;DR: A novel robust damping control scheme is proposed for the tracking control of wheeled mobile robots in the presence of unknown dynamics and bounded disturbances and global uniform boundedness of all tracking errors is guaranteed.
Proceedings ArticleDOI

Sliding mode impedance control and its application to grinding tasks

Z. Lu, +2 more
TL;DR: A sliding mode based impedance controller is proposed and a continuous PI function is used near the sliding surface to avoid chattering as well as to reduce the steady-state error.