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Kamal Carter

dblp:324/6215 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

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 · 83% Motion planning and robot control · 17%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots
bipedal walking
0.612022
Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics · ICRA 2022
Robotics › Legged, aerial and field robots
legged robots
0.612022
Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics · ICRA 2022
Robotics › Legged, aerial and field robots
passive dynamic walking
0.612022
Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics · ICRA 2022
Robotics › Motion planning and robot control › robot control
open-loop control
0.212022
Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics · ICRA 2022
Robotics › Motion planning and robot control
robot control
0.212022
Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics · ICRA 2022

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

passive dynamics modeling · 0.6dynamic simulation · 0.6
YearPublicationVenuePosition
2022 Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics
abstract
We present simplified 2D dynamic models of the 3D, passive dynamic inspired walking gait of a physical quasi-passive walking robot. Quasi-passive walkers are robots that integrate passive walking principles and some form of actuation. Our ultimate goal is to better understand the dynamics of actuated walking in order to create miniature, untethered, bipedal walking robots. At these smaller scales there is limited space and power available, and so in this work we leverage the passive dynamics of walking to reduce the burden on the actuators and controllers. Prior quasi-passive walkers are much larger than our intended scale, have more complicated mechanical designs, and require more precise feedback control and/or learning algorithms. By leveraging the passive 3D dynamics, carefully designing the spherical feet, and changing the actuation scheme, we are able to produce a very simple 3D bipedal walking model that has a total of 5 rigid bodies and a single actuator per leg. Additionally, the model requires no feedback as each actuator is controlled by an open-loop sinusoidal profile. We validate this model in 2D simulations in which we measure the stability properties while varying the leg length/amplitude ratio, the frequency of actuation, and the spherical foot profile. These results are also validated experimentally on a 3D walking robot (15cm leg length) that implements the modeled walking dynamics. Finally, we experimentally investigate the ability to control the heading of the robot by changing the open-loop control parameters of the robot.
Sharfin Islam, Kamal Carter, Justin K. Yim, James Kyle, Sarah Bergbreiter, Aaron M. Johnson 0001
ICRA2