Demo Data from SIGIR 2026 / reviewers in the wild / expert
C. P. Lam
dblp:41/4185
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion |
0.0 | 1 | 2003 | A biologically inspired four legged walking robot · ICRA 2003 |
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
quadruped walking |
0.0 | 1 | 2003 | A biologically inspired four legged walking robot · ICRA 2003 |
Robotics › Legged, aerial and field robots
rough terrain locomotion |
0.0 | 1 | 2003 | A biologically inspired four legged walking robot · ICRA 2003 |
Methods — techniques the papers use, named apart from their topics
subsumption architecture · 0.0central pattern generator · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | A biologically inspired four legged walking robotabstractThis paper presents the design and implementation of a biologically inspired four legged walking robot, with a certain level of comparable complexities and similarities to its biological counterpart. A four-phase walking strategy inspired from four legged animals has been proposed and implemented in the robot. Four parallel Subsumption Architectures and a simple Central Pattern Generator are used in the robot for physical implementation. Experimental results demonstrate that the robot employs the proposed walking strategy and can successfully carry out its walking behaviours under various experimental terrain conditions, such as flat ground, incline, decline and uneven ground. S. Peng, C. P. Lam, G. R. Cole |
ICRA | 2 |