comms_teleop_dw_ab
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
comms_teleop_dw_ab [2017/05/25 20:20] – [Annotated References] dwallace | comms_teleop_dw_ab [2017/06/19 05:11] (current) – dwallace | ||
---|---|---|---|
Line 1: | Line 1: | ||
====== Telerobotics Annotated Bibliography ====== | ====== Telerobotics Annotated Bibliography ====== | ||
- | **Author:** Dylan Wallace | + | **Author:** Dylan Wallace |
\\ | \\ | ||
**Date:** Last modified on 05/09/17 | **Date:** Last modified on 05/09/17 | ||
Line 57: | Line 57: | ||
and (3) how to utilize haptics in order to increase cooperative control of a system. | and (3) how to utilize haptics in order to increase cooperative control of a system. | ||
- | **3.** [[http:// | + | **3.** [[http:// |
- | Publisher: IEEE Journal of Oceanic Engineering Volume 16 Issue 1 (1991)\\ | + | Publisher: IEEE Conference on Robotics and Automation (ICRA) |
- | Keywords: Teleoperation, | + | Keywords: Teleoperation, |
- | Niemeyer, G., & Slotine, J. (1991). Stable adaptive | + | Brady, K., & Tarn, T. (1998). Internet-based remote |
+ | |||
+ | This paper describes utilizing the Internet to teleoperate robots over long-distance connections, | ||
+ | that the model of the robot is sufficient to deal with the delay in high-latency teleoperation. | ||
+ | |||
+ | From the state-of-the-art, | ||
+ | |||
+ | The paper presents the following theoretical principles: | ||
+ | |||
+ | The principles are explained well, and in detail. For example the equations for the state space formulation show the correct application of the principles. | ||
+ | |||
+ | From the principles and results, the paper concludes: (1) The predictive model is useful for unexpected circumstances during control; (2) the state space formulation works well under high-latency; | ||
+ | |||
+ | I liked this paper because: (1) It utilized the Internet, a readily available resource, to control the robot; (2) It dealt with high-latency communications by switching from time delay to a state space model; and (3) It utilized a predictive model that accurately guided the operator throughout the heavily delayed control. However, I would have liked to see picture of their predictive model, and how it compared to the delayed image displayed on screen. | ||
+ | |||
+ | Three things I learned from this paper were: (1) How to estimate the time delay in a system; (2) How to utilize a state space model for high-latency control; and (3) How to keep effectively the human-in-the-loop, | ||
+ | |||
+ | **4.** [[http:// | ||
+ | Publisher: IEEE Transactions on Robotics and Automation (Volume 9, Issue 5, Oct 1993)\\ | ||
+ | Keywords: Time delay, high-latency, | ||
+ | |||
+ | Sheridan, T. (1993). Space teleoperation through time delay: review and prognosis. IEEE Transactions on Robotics and Automation, 9(5), 592-606. doi: | ||
This paper describes (fill in the blank). | This paper describes (fill in the blank). | ||
Line 85: | Line 106: | ||
and (3) (fill-in-the-blank). | and (3) (fill-in-the-blank). | ||
- | **4.** [[insert_ieee_explore_link_here|Title of Paper]]\\ | + | **5.** [[http:// |
- | Publisher: | + | Publisher: |
- | Keywords | + | Keywords: |
- | Proper Citation | + | Leung, G., Francis, B., & Apkarian, J. (1995). Bilateral controller for teleoperators with time delay via μ-synthesis. IEEE Transactions on Robotics and Automation, 11(1), 105-116. doi: |
This paper describes (fill in the blank). | This paper describes (fill in the blank). |
comms_teleop_dw_ab.1495768814.txt.gz · Last modified: by dwallace