Demo Data from EDBT 2026 / reviewers in the wild / expert
James Kyle
dblp:324/6188
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › legged robots
bipedal walking |
0.6 | 1 | 2022 | Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics · ICRA 2022 |
Robotics › Legged, aerial and field robots
legged robots |
0.6 | 1 | 2022 | Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics · ICRA 2022 |
Robotics › Legged, aerial and field robots
passive dynamic walking |
0.6 | 1 | 2022 | 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 |
0.2 | 1 | 2022 | Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive Dynamics · ICRA 2022 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2022 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Scalable Minimally Actuated Leg Extension Bipedal Walker Based on 3D Passive DynamicsabstractWe 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 |
ICRA | 4 |