Demo Data from EDBT 2026 / reviewers in the wild / expert
Christopher J. Pratt
dblp:181/4259
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 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
1 paper |
Legged, aerial and field robots · 93% Motion planning and robot control · 7% |
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
aerial robots |
0.2 | 1 | 2016 | Dynamic underactuated flying-walking (DUCK) robot · ICRA 2016 |
Robotics › Legged, aerial and field robots
legged robots |
0.2 | 1 | 2016 | Dynamic underactuated flying-walking (DUCK) robot · ICRA 2016 |
Robotics › Legged, aerial and field robots
passive dynamic walking |
0.2 | 1 | 2016 | Dynamic underactuated flying-walking (DUCK) robot · ICRA 2016 |
Robotics › Legged, aerial and field robots › aerial robots
quadrotor |
0.2 | 1 | 2016 | Dynamic underactuated flying-walking (DUCK) robot · ICRA 2016 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2016 | Dynamic underactuated flying-walking (DUCK) robot · ICRA 2016 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2mathematical modeling · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Dynamic underactuated flying-walking (DUCK) robotabstractThis paper describes the development of a flying and walking robot, called the dynamic underactuated flying-walking (DUCK) robot. The DUCK robot combines a high-mobility flying platform, such as a quadcopter (quadrotor helicopter), with passive-dynamic legs to create a versatile system that can fly and walk. One of the advantages of passive-dynamic legs for walking is that additional actuators are not needed for terrestrial locomotion. Herein, a mathematical model is presented and simulations are used to help design a prototype robot. Experimental results demonstrate the feasibility of combining an aerial platform with passive-dynamic legs to create an effective flying and walking robot. In particular, two modes of walking are demonstrated: (1) passive walking down inclined surfaces for low-energy terrestrial locomotion, and (2) active (powered) walking by leveraging the capabilities of the flying platform, where thrust from the quadcopter's rotors enables the DUCK robot to take steps and walk on flat surfaces or up inclined surfaces. Christopher J. Pratt, Kam K. Leang |
ICRA | 1 |