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Frank B. Mathis

dblp:135/8406 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 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
Legged, aerial and field robots · 62% Motion planning and robot control · 38%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › hopping robot
hopping robot control
0.212013
Apex height control of a two-mass hopping robot · ICRA 2013
Robotics › Motion planning and robot control
robot control
0.212013
Apex height control of a two-mass hopping robot · ICRA 2013
Robotics › Legged, aerial and field robots › locomotion
hopping locomotion
0.012013
Apex height control of a two-mass hopping robot · ICRA 2013
Robotics › Legged, aerial and field robots
legged robots
0.012013
Apex height control of a two-mass hopping robot · ICRA 2013

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

two-mass model · 0.2spring-loaded inverted pendulum model · 0.2feedback linearization · 0.2
YearPublicationVenuePosition
2013 Apex height control of a two-mass hopping robot
abstract
The spring loaded inverted pendulum (SLIP) model is commonly used to describe the dynamics of hopping robots. Based on this model, the control of hopping robots has been widely investigated. A fundamental limitation of the model is that it fails to account for impact with the ground, and this is due to its single degree-of-freedom in the vertical direction. A more accurate representation of the hopping robot is proposed using a two mass model and inelastic impact with the ground. A control scheme is developed to converge the maximum jumping height of the robot to a desired value. The control scheme utilizes feedback linearization in continuous time and updates a control parameter in discrete time to achieve the control objective. Simulation results are presented to show the efficacy of the control scheme.
Frank B. Mathis, Ranjan Mukherjee
ICRA1
2013 Apex height control of a four-link hopping robot
abstract
Bipedal robots have the potential to provide robust locomotion over uneven terrain and its dynamic stability has been shown to be analogous to that of a spring loaded inverted pendulum (SLIP). The SLIP model is fundamentally limited in its ability to accurately represent legged locomotion since it does not take into account the impulsive dynamics of foot ground interaction. In this paper we investigate the control of a four-link hopping robot based on the complete dynamics of the system. Using partial feedback linearization to control the configuration in continuous time, and discrete parameter variations the control object of apex height control of the robot is achieved. Simulation results are presented to show the efficacy of the control scheme.
Frank B. Mathis, Ranjan Mukherjee
IROS1