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Gregory J. McDermott

dblp:07/1804 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 3 · 1 first-authorArtificial intelligence and machine learning · 2Systems, architecture and hardware · 2Human-computer interaction and ubiquitous computing · 1 · 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
2 papers
Legged, aerial and field robots · 59% Motion planning and robot control · 41%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics
0.112005
Kinematics Modeling and Analyses of Articulated Rovers · IEEE Trans. Robotics 2005
Robotics › Legged, aerial and field robots › field robotics
planetary rover
0.112005
Kinematics Modeling and Analyses of Articulated Rovers · IEEE Trans. Robotics 2005
Robotics › Motion planning and robot control
robot kinematics
0.112005
Kinematics Modeling and Analyses of Articulated Rovers · IEEE Trans. Robotics 2005
Robotics › Legged, aerial and field robots › terramechanics
wheel-terrain interaction
0.012005
Kinematics Modeling and Analyses of Articulated Rovers · IEEE Trans. Robotics 2005
Robotics › Motion planning and robot control
robot control
0.011995
Comments on "A sliding mode controller with bound estimation for robot manipulators" · IEEE Trans. Robotics Autom. 1995
Robotics › Motion planning and robot control › robot control
sliding mode control
0.011995
Comments on "A sliding mode controller with bound estimation for robot manipulators" · IEEE Trans. Robotics Autom. 1995
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.011995
Comments on "A sliding mode controller with bound estimation for robot manipulators" · IEEE Trans. Robotics Autom. 1995

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

differential kinematics · 0.1
YearPublicationVenuePosition
2007 A Systematic Approach to Kinematics Modeling of High Mobility Wheeled Rovers
abstract
The paper proposes a systematic, data-driven method for kinematics modeling of high mobility wheeled rovers traversing uneven terrain. The method is based on the propagation of position and orientation velocities starting from the rover reference frame and going through various joints and linkages to the wheels. Equations of the motion are set up in a compact form, which only require the D-H parameters of the rover joints and links. To illustrate the proposed kinematics modeling, the method is applied to a rover similar to the NASA's Sample Return Rover.
Mahmoud Tarokh, Gregory J. McDermott
ICRA2
2005 A general approach to kinematics modeling of all-terrain rovers
abstract
This paper describes a general approach to kinematics modeling of all-terrain rovers traversing uneven terrain. The model is derived for full six degree of freedom motion including rotations in pitch, roll, and yaw as well as translation in x, y, and z. Differential kinematics is derived for individual wheel motions in contact with the terrain and then combined to form the composite equation for rover motion. Three useful types of kinematics (i.e., navigation, actuation and slip) are identified, and the equations and application of each are discussed. For illustration, the method is specialized to Rocky 7, a highly articulated prototype Mars rover. Simulation results are described for Rocky 7 traversing bumpy terrain.
Gregory J. McDermott, Mahmoud Tarokh
SMC1
2005 Kinematics Modeling and Analyses of Articulated Rovers
abstract
This paper describes a general approach to the kinematics modeling and analyses of articulated rovers traversing uneven terrain. The model is derived for full 6DOF (6-degree-of-freedom) motion, enabling movements in the x,y, and z directions, as well as pitch, roll, and yaw rotations. Differential kinematics is derived for the individual wheel motions in contact with the terrain. The resulting equations of the individual wheel motions are then combined to form the composite equation for the rover motion. Three types of kinematics, i.e., navigation, actuation, and slip kinematics are identified, and the equations and application of each are discussed. The derivations are specialized to Rocky 7, a highly articulated prototype Mars rover, to illustrate the developed methods. Simulation results are provided for the motion of the Rocky 7 over several terrains, and various motion profiles are provided to explain the behavior of the rover.
Mahmoud Tarokh, Gregory J. McDermott
IEEE Trans. Robotics2
1999 Kinematic Modeling of a High Mobility Mars Rover
abstract
The paper describes a method for kinematic modeling of the Rocky 7 Mars rover. The model is derived for full six degree of freedom motions enabling movements in x,y,z directions, as well as pitch, roll and yaw rotations. Forward kinematic equations are derived using wheel Jacobian matrices. The individual matrices are then combined to form the composite equation for the rover. This equation is solved to obtain the rover position and heading in terms of measured wheel velocities and certain rocker joint angles. The inverse kinematics is derived relating the individual wheel velocities and steering angles to the desired forward velocity and turning rate of the rover. Due to the special kinematic configuration of Rocky 7, a geometric approach is developed to determine the steering angles.
Mahmoud Tarokh, Gregory J. McDermott, Samad Hayati, J. Hung
ICRA2
1995 Comments on "A sliding mode controller with bound estimation for robot manipulators"
abstract
In Su and Leung (1993), a sliding mode control method is proposed for joint trajectory tracking of robot manipulators. The method is based on the decomposition of the manipulator dynamics into the product of a constant parameter vector and a regressor matrix, originally developed by Slotine and Li (1988). This note shows that the method proposed by Su and Leung does not offer any advantage over the method of Slotine and Li.>
Mahmoud Tarokh, Gregory J. McDermott
IEEE Trans. Robotics Autom.2