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Warley F. R. Ribeiro

dblp:164/8596 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0003-4634-1321ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Systems, architecture and hardware · 2 · 1 first-author · 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
2 papers
Legged, aerial and field robots · 69% Motion planning and robot control · 24% Robot manipulation · 8%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
legged robots
0.712023
RAMP: Reaction-Aware Motion Planning of Multi-Legged Robots for Locomotion in Microgravity · ICRA 2023
Robotics › Motion planning and robot control
motion planning
0.712023
RAMP: Reaction-Aware Motion Planning of Multi-Legged Robots for Locomotion in Microgravity · ICRA 2023
Robotics › Legged, aerial and field robots › legged robots
multi-legged robot
0.712023
RAMP: Reaction-Aware Motion Planning of Multi-Legged Robots for Locomotion in Microgravity · ICRA 2023
Robotics › Legged, aerial and field robots
space robotics
0.422023
Experimental evaluation of gripping characteristics based on frictional theory for ground grip locomotive robot on an asteroid · ICRA 2015
RAMP: Reaction-Aware Motion Planning of Multi-Legged Robots for Locomotion in Microgravity · ICRA 2023
Robotics › Robot manipulation
grasping
0.212015
Experimental evaluation of gripping characteristics based on frictional theory for ground grip locomotive robot on an asteroid · ICRA 2015
Robotics › Legged, aerial and field robots › space robotics
microgravity locomotion
0.212023
RAMP: Reaction-Aware Motion Planning of Multi-Legged Robots for Locomotion in Microgravity · ICRA 2023

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

low-reaction swing trajectory · 0.7dynamic simulation · 0.7friction coefficient measurement · 0.2air-floating experiment · 0.2
YearPublicationVenuePosition
2023 RAMP: Reaction-Aware Motion Planning of Multi-Legged Robots for Locomotion in Microgravity
abstract
Robotic mobility in microgravity is necessary to expand human utilization and exploration of outer space. Bio-inspired multi-legged robots are a possible solution for safe and precise locomotion. However, a dynamic motion of a robot in microgravity can lead to failures due to gripper detachment caused by excessive motion reactions. We propose a novel Reaction-Aware Motion Planning (RAMP) to improve locomotion safety in microgravity, decreasing the risk of losing contact with the terrain surface by reducing the robot's momentum change. RAMP minimizes the swing momentum with a Low-Reaction Swing Trajectory (LRST) while distributing this momentum to the whole body, ensuring zero velocity for the supporting grippers and minimizing motion reactions. We verify the proposed approach with dynamic simulations indicating the capability of RAMP to generate a safe motion without detachment of the supporting grippers, resulting in the robot reaching its specified location. We further validate RAMP in experiments with an air-floating system, demonstrating a significant reduction in reaction forces and improved mobility in microgravity.
Warley F. R. Ribeiro, Kentaro Uno, Masazumi Imai, Koki Murase, Kazuya Yoshida
ICRA1
2015 Experimental evaluation of gripping characteristics based on frictional theory for ground grip locomotive robot on an asteroid
abstract
Owing to the irregular terrain and microgravity environment of an asteroid, an appropriate locomotion mechanism is required for exploring the asteroid by a robot. In this paper, a ground grip locomotive robot is proposed. One of the most important requirements of the robot is the development of the finger gripping mechanism that can be attached on an uneven surface. To meet this requirement, grip condition and friction characteristics between the finger and the surface need to be understood. Therefore, we conducted an experimental evaluation of gripping characteristics by measuring the coefficients of friction between several types of fingers and simulated grounds. Moreover, the range of possible gripping angles for simulated ground was determined by conditional equations and confirmed by an experiment of gripping the ground using an air-floating system. In this paper, conical shape is shown to be effective for ground grip locomotive robot.
Yudai Yuguchi, Warley F. R. Ribeiro, Kenji Nagaoka, Kazuya Yoshida
ICRA2