Nikita E. Barabanov

dblp:271/4091 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Motion planning and robot control · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › teleoperation
bilateral teleoperation
0.122008
A Globally Stable PD Controller for Bilateral Teleoperators · IEEE Trans. Robotics 2008
On tracking performance in bilateral teleoperation · IEEE Trans. Robotics 2006
Robotics › Motion planning and robot control
teleoperation
0.122008
A Globally Stable PD Controller for Bilateral Teleoperators · IEEE Trans. Robotics 2008
On tracking performance in bilateral teleoperation · IEEE Trans. Robotics 2006
Robotics › Motion planning and robot control › robot control › force control
force/position tracking
0.112006
On tracking performance in bilateral teleoperation · IEEE Trans. Robotics 2006
Robotics › Motion planning and robot control › robot control
passivity-based control
0.022008
A Globally Stable PD Controller for Bilateral Teleoperators · IEEE Trans. Robotics 2008
On tracking performance in bilateral teleoperation · IEEE Trans. Robotics 2006

Methods — techniques the papers use, named apart from their topics

passivity · 0.1lyapunov stability analysis · 0.1passivity-based control · 0.1lyapunov stability · 0.1
YearPublicationVenuePosition
2016 Stability of discrete time recurrent neural networks and nonlinear optimization problems
Jayant Singh, Nikita E. Barabanov
Neural Networks2
2008 A Globally Stable PD Controller for Bilateral Teleoperators
abstract
In a recent scheme, with delayed derivative action [Lee and Spong,IEEE Trans. Robot., vol. 22, no. 2, pp. 269--281, Apr. 2006], it is claimed that a simple proportional derivative (PD) scheme yields a stable operation. Unfortunately, the stability proof hinges upon unverifiable assumptions on the human and contact environment operators, namely, that they define${\cal L}_\infty$--stable mapsfrom velocity to force. In this short paper, we prove that it is indeed possible to achieve stable behavior with simple PD-like schemes---even without the delayed derivative action---under the classical assumption of passivity of the terminal operators.
Emmanuel Nuno, Romeo Ortega, Nikita E. Barabanov, Luis Basañez
IEEE Trans. Robotics3
2006 On tracking performance in bilateral teleoperation
abstract
This paper addresses the problem of steady-state position and force tracking in bilateral teleoperation. Passivity-based control schemes for bilateral teleoperation provide robust stability against network delays in the feedback loop and velocity tracking, but do not guarantee steady-state position and force tracking in general. Position drift due to data loss and offset of initial conditions is a well-known problem in such systems. In this paper, we introduce a new architecture, which builds upon the traditional passivity-based configuration by using additional position control on both the master and slave robots, to solve the steady-state position and force-tracking problem. Lyapunov stability methods are used to establish the range of the position control gains on the master and slave sides. Experimental results using a single-degree-of-freedom master/slave system are presented, showing the performance of the resulting system
Nikhil Chopra, Mark W. Spong, Romeo Ortega, Nikita E. Barabanov
IEEE Trans. Robotics4