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Alper Yeldan

dblp:324/6287 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0002-5816-9330ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Systems, architecture and hardware · 2 · 2 first-author · 2 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 · 90% Motion planning and robot control · 10%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
legged robots
1.222023
Contact Based Turning Gait of a Novel Legged-Wheeled Quadruped · ICRA 2023
QuadRunner: A Transformable Quasi-Wheel Quadruped · ICRA 2022
Robotics › Legged, aerial and field robots › wheel-legged robot
leg-wheel hybrid locomotion
1.222023
Contact Based Turning Gait of a Novel Legged-Wheeled Quadruped · ICRA 2023
QuadRunner: A Transformable Quasi-Wheel Quadruped · ICRA 2022
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
gait planning
0.712023
Contact Based Turning Gait of a Novel Legged-Wheeled Quadruped · ICRA 2023
Robotics › Legged, aerial and field robots › gait generation
turning gait
0.712023
Contact Based Turning Gait of a Novel Legged-Wheeled Quadruped · ICRA 2023
Robotics › Motion planning and robot control › robot control
gait control
0.612022
QuadRunner: A Transformable Quasi-Wheel Quadruped · ICRA 2022
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
quadruped locomotion
0.612022
QuadRunner: A Transformable Quasi-Wheel Quadruped · ICRA 2022
Robotics › Legged, aerial and field robots › locomotion gait
trot gait
0.612022
QuadRunner: A Transformable Quasi-Wheel Quadruped · ICRA 2022

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

high-speed camera verification · 0.7dual frequency gait planning · 0.7transformable leg-wheel design · 0.6gait kinematics · 0.6
YearPublicationVenuePosition
2023 Contact Based Turning Gait of a Novel Legged-Wheeled Quadruped
abstract
How does a wheeled robot move and turn? The answer is straightforward for a conventional wheeled robot, but it is not so easy for a robot with a discrete wheel design. Regular wheeled robots always have four contact points, resulting in static stability during locomotion. However, QuadRunner's novel leg mechanism provides only a semi-circular wheel shape, and proper gait planning is needed to go straight or turn. Therefore, this paper presents a dual frequency gait planning method which controls the robot's gait cycle's duty factor and generates unique turning gait patterns for wheel locomotion. Describing requirements and limitations, we found sets of solutions that can achieve turning. Results show that the smallest turning radius QuadRunner achieved is 1.05m, and the biggest is 1.86m. In addition, detailed experiments were made to observe the performance and stability of straight and turning wheel behaviors. Finally, a gait verification is made using high-speed cameras.
Alper Yeldan, Abhimanyu Arora, Gim Song Soh
ICRA1
2022 QuadRunner: A Transformable Quasi-Wheel Quadruped
abstract
This paper presents QuadRunner, a transformable quasi-wheel legged robot that achieves both quadruped locomotion and wheel locomotion by exploiting a novel semicircular leg-wheel design with a Trotting Wheel gait. We built upon the Stanford Doggo open architecture platform and integrated it with a transformable leg-wheel design to enhance its locomotion capabilities. On its gait control, improvements were made to its trot gait kinematics with end-effector considerations as well as the design of a new trotting wheel gait. Our proposed locomotion strategy found that the robot's legged locomotion improves by an average speed of 10%. In addition, wheel to leg transition takes around 300 ms, and the speed of its wheel locomotion can reach more than five times its body-length/s (2.2 m/s) on flat terrain. Lastly, detailed experiments are conducted to observe the wheel-leg transition performance and gait verification under the absence of foot contact sensors.
Alper Yeldan, Abhimanyu Arora, Gim Song Soh
ICRA1