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Bilal Ur Rehman

dblp:123/6639 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0003-2349-7518ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-author

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
Robot manipulation · 77% Legged, aerial and field robots · 23%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › mobile manipulation
legged manipulation
0.212016
Towards a multi-legged mobile manipulator · ICRA 2016
Robotics › Robot manipulation
mobile manipulation
0.212016
Towards a multi-legged mobile manipulator · ICRA 2016
Robotics › Legged, aerial and field robots
locomotion
0.112016
Towards a multi-legged mobile manipulator · ICRA 2016
Robotics › Legged, aerial and field robots › legged robots
multi-legged robot
0.112016
Towards a multi-legged mobile manipulator · ICRA 2016

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

payload estimation · 0.2integrated control · 0.2
YearPublicationVenuePosition
2016 Towards a multi-legged mobile manipulator
abstract
A common disadvantage of multi-legged robots is that they often lack the manipulation capability. To overcome this limitation, an arm can be added to the body of the multi-legged robot, to perform manipulation tasks and provide assistance for locomotion. First, we proposed an attachment configuration of the arm for a multi-legged robot that provide a uniform workspace in front, below and above the base robot trunk. Second, an integrated control framework promises to keep the mobility and the balance of the mobile platform and provides precise manipulation capability of the arm incorporating a payload estimation scheme. Finally, we verify an integrated control framework with experimental results of a static and walking mobile platform while moving the arm.
Bilal Ur Rehman, Michele Focchi, Jinoh Lee, Houman Dallali, Darwin G. Caldwell, Claudio Semini
ICRA1
2012 Electro-hydraulically actuated forestry manipulator: Modeling and Identification
abstract
We present results of modeling dynamics of a forestry manipulator, in which we consider its mechanics, as well as its hydraulic actuation system. The mathematical model of its mechanics is formulated by Euler-Lagrange equations, for which the addition of friction forces is straightforward. Dynamics of the hydraulic system is modeled upon first principle laws, which concern flow through orifices and fluid compressibility. These models lead to a set of equations with various unknown parameters, which are related to the inertias, masses, location of center of masses, friction forces, and valve coefficients. The numerical values of these parameters are estimated by the use of least-square methods, which is made feasible by transforming the models into linear representations. The results of simulation tests show a significant correspondence between measured and estimated variables, validating our modeling and identification approach.
Pedro X. La Hera, Bilal Ur Rehman, Daniel Ortíz Morales
IROS2