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Hossein Zamani Boroujeni

dblp:372/4767 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—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
Motion planning and robot control · 75% Legged, aerial and field robots · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › bio-inspired robot
brachiating robot
0.812024
Ricmonk: A Three-Link Brachiation Robot with Passive Grippers for Energy-Efficient Brachiation · ICRA 2024
Robotics › Motion planning and robot control › trajectory optimization
direct collocation
0.812024
Ricmonk: A Three-Link Brachiation Robot with Passive Grippers for Energy-Efficient Brachiation · ICRA 2024
Robotics › Motion planning and robot control
robot control
0.812024
Ricmonk: A Three-Link Brachiation Robot with Passive Grippers for Energy-Efficient Brachiation · ICRA 2024
Robotics › Motion planning and robot control
trajectory optimization
0.812024
Ricmonk: A Three-Link Brachiation Robot with Passive Grippers for Energy-Efficient Brachiation · ICRA 2024

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

time-varying linear quadratic regulator · 0.8direct collocation · 0.8
YearPublicationVenuePosition
2024 Ricmonk: A Three-Link Brachiation Robot with Passive Grippers for Energy-Efficient Brachiation
abstract
This paper presents the design, analysis, and performance evaluation of RicMonk, a novel three-link brachiation robot equipped with passive hook-shaped grippers. Brachiation, an agile and energy-efficient mode of locomotion observed in primates, has inspired the development of RicMonk to explore versatile locomotion and maneuvers on ladder-like structures. The robot’s anatomical resemblance to gibbons and the integration of a tail mechanism for energy injection contribute to its unique capabilities. The paper discusses the use of the Direct Collocation methodology for optimizing trajectories for the robot’s dynamic behaviors and stabilization of these trajectories using a Time-varying Linear Quadratic Regulator. With RicMonk we demonstrate bidirectional brachiation, and provide comparative analysis with its predecessor, AcroMonk - a two-link brachiation robot, to demonstrate that the presence of a passive tail helps improve energy efficiency. The system design, controllers, and software implementation are publicly available on GitHub at https://github.com/dfki-ric-underactuated-lab/ricmonk and the video demonstration of the experiments can be viewed at https://youtu.be/hOuDQI7CD8w.
Shourie S. Grama, Mahdi Javadi, Shivesh Kumar, Hossein Zamani Boroujeni, Frank Kirchner
ICRA4