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Yury Orlov 0001

dblp:93/5641 · also Yuri Orlov 0001, Yuri V. Orlov, Yury V. Orlov · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0001-9114-0436ORCID · verified

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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
1 paper
Motion planning and robot control · 77% Legged, aerial and field robots · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › locomotion control › legged robot control
bipedal robot control
0.212014
Finite time tracking of a fully actuated biped robot with pre-specified settling time: A second order sliding mode synthesis · ICRA 2014
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion
0.112014
Finite time tracking of a fully actuated biped robot with pre-specified settling time: A second order sliding mode synthesis · ICRA 2014

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

twisting controller · 0.2second-order sliding mode control · 0.2lyapunov stability · 0.2
YearPublicationVenuePosition
2014 Finite time tracking of a fully actuated biped robot with pre-specified settling time: A second order sliding mode synthesis
abstract
A second order sliding mode controller is utilised to track reference trajectories for all the joints of a fully actuated biped robot. The existing tuning rules for the `twisting' controller are used to guarantee a priori attainment of a prescribed settling time between two successive impacts. The joint torque is modeled as the control input. Smoothing of the discontinuous controller is carried out by introducing a high gain linear controller inside a boundary layer defined by an arbitrarily small region around the origin thereby avoiding numerical errors in the simulations. The overall accuracy of motion control is dictated by the size of this layer leading to practical stability of the closed-loop system. The main contribution of the paper is to provide straightforward and realizable engineering guidelines for the reference trajectory generation and for the tuning of a robust finite time controller for achieving stable gait of a biped in the presence of disturbances in both continuous and impact phases. Numerical simulations of a biped robot are shown to support the theoretical results.
Harshal B. Oza, Yury Orlov 0001, Sarah K. Spurgeon, Yannick Aoustin, Christine Chevallereau
ICRA2