Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kotaro Otaka
dblp:232/0575
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 · 91% Motion planning and robot control · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
field robotics |
0.7 | 1 | 2023 | Mechanical Designs for Field Undulatory Locomotion by a Wheeled Snake-Like Robot With Decoupled Neural Oscillators · IEEE Trans. Robotics 2023 |
Robotics › Legged, aerial and field robots › bio-inspired robot
snake robot locomotion |
0.7 | 1 | 2023 | Mechanical Designs for Field Undulatory Locomotion by a Wheeled Snake-Like Robot With Decoupled Neural Oscillators · IEEE Trans. Robotics 2023 |
Robotics › Legged, aerial and field robots
undulatory locomotion |
0.7 | 1 | 2023 | Mechanical Designs for Field Undulatory Locomotion by a Wheeled Snake-Like Robot With Decoupled Neural Oscillators · IEEE Trans. Robotics 2023 |
Robotics › Motion planning and robot control › locomotion control
neural oscillator control |
0.2 | 1 | 2023 | Mechanical Designs for Field Undulatory Locomotion by a Wheeled Snake-Like Robot With Decoupled Neural Oscillators · IEEE Trans. Robotics 2023 |
Methods — techniques the papers use, named apart from their topics
sensory feedback · 0.7decoupled neural oscillators · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Mechanical Designs for Field Undulatory Locomotion by a Wheeled Snake-Like Robot With Decoupled Neural OscillatorsabstractIn this article, we demonstrate the value of using decoupled neural oscillators in conjunction with appropriate mechanical designs for snake-like robots engaging in field locomotion. Even though our typical wheeled snake robot with decoupled neural oscillators incorporating angle joint feedback can generate consistent lateral undulation, it lacks robustness. A purely decoupled actuation strategy is not practical for field locomotion. However, the application of one-way wheels and elasticity between the modules improves robustness, allowing our robot to traverse outdoor open terrain. On the other hand, the physical form of the undulatory motion must be varied to pass through intricate narrow-field environments. The lack of neural constraints between the modules passively enables this variability and also facilitates each module independently gaining propulsion (i.e., by means of reflexive thrust via sensory feedback to the neural oscillator and one-way traction generated by one-way side rollers). The designed robot is able to engage in fast creeping motion through an environment containing randomly distributed logs. The results of the field experiments show that the specially designed mechanisms in conjunction with decoupled oscillators can enhance robustness, variability, and independent local propulsion. Yasuhiro Fukuoka, Kotaro Otaka, Ryo Takeuchi, Kaito Shigemori, Kousuke Inoue |
IEEE Trans. Robotics | 2 |