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Jonathan Mi

dblp:307/9910 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 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
1 paper
Legged, aerial and field robots · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.612022
Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting · ICRA 2022
Robotics › Legged, aerial and field robots › rough terrain locomotion
obstacle traversal
0.612022
Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting · ICRA 2022
Robotics › Legged, aerial and field robots › dynamic balance control
self-righting
0.612022
Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting · ICRA 2022
Robotics › Legged, aerial and field robots › legged robots
legged robot design
0.212022
Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting · ICRA 2022
Robotics › Legged, aerial and field robots › locomotion
multimodal locomotion
0.212022
Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting · ICRA 2022

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

multi-functional appendages · 0.6compliant legs · 0.6
YearPublicationVenuePosition
2022 Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting
abstract
Robots excel at avoiding obstacles but struggle to traverse complex 3-D terrain with cluttered large obstacles. By contrast, insects like cockroaches excel at doing so. Recent research in our lab elucidated how locomotor transitions emerge from locomotor-environment interaction for diverse locomotor challenges abstracted from complex 3-D terrain and the strategies to overcome them. Here we built on these fundamental insights to develop a cockroach-inspired legged robot, Omni-Roach, that integrated these strategies to achieve multi-modal locomotion and provide a robophysical model to study the tradeoff between multi-functionality and performance. The robot was based on the RHex design with six compliant legs and featured a rounded body with two wings that can open and a tail with pitch and yaw degrees of freedom. After two development and testing iterations, our robot was capable of overcoming all loco-motor challenges with a high performance and success rate. It traversed cluttered rigid pillars only 1.1× robot body width apart, a 2.5× hip height bump, a 0.75× body length gap, densely cluttered flexible beams only 65% body width apart, and self-righted within 4 seconds. Systematic beam traversal experiments further revealed that a downward-pointing tail oscillating laterally helps roll the body into beam gaps and break frictional and interlocking contact to traverse. Our work highlights the usefulness of multi-functional appendages and exaptation for large obstacle traversal.
Jonathan Mi, Yaqing Wang 0009, Chen Li 0017
ICRA1