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Xuelin Wu

dblp:273/9747 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
0009-0000-9480-930XORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 2 · 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
1 paper
Legged, aerial and field robots · 50% Motion planning and robot control · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
jumping robot
0.612022
The Feedback Trajectory Control of a SMA-Driven Miniature Jumping Robot · ICRA 2022
Robotics › Motion planning and robot control › robot control › trajectory tracking
trajectory control
0.612022
The Feedback Trajectory Control of a SMA-Driven Miniature Jumping Robot · ICRA 2022

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

shape memory alloy actuation · 0.6PD control · 0.6
YearPublicationVenuePosition
2023 CurveQuad: A Centimeter-Scale Origami Quadruped that Leverages Curved Creases to Self-Fold and Crawl with One Motor
abstract
We present CurveQuad, a miniature curved origami quadruped that is able to self-fold and unfold, crawl, and steer, all using a single actuator. CurveQuad is designed for planar manufacturing, with parts that attach and stack sequentially on a flat body. The design uses 4 curved creases pulled by 2 pairs of tendons from opposite ends of a link on a 270°servo. It is 8 cm in the longest direction and weighs 10.9 g. Rotating the horn pulls the tendons inwards to induce folding. Continuing to rotate the horn shears the robot, enabling the robot to shuffle forward while turning in either direction. We experimentally validate the robot's ability to fold, steer, and unfold by changing the magnitude of horn rotation. We also demonstrate basic feedback control by steering towards a light source from a variety of starting positions and orientations, and swarm aggregation by having 4 robots simultaneously steer towards the light. The results demonstrate the potential of using curved crease origami in self-assembling and deployable robots with complex motions such as locomotion.
Daniel A. Feshbach, Xuelin Wu, Satviki Vasireddy, Louis Beardell, Bao To, Yuliy M. Baryshnikov, Cynthia R. Sung
IROS2
2022 The Feedback Trajectory Control of a SMA-Driven Miniature Jumping Robot
abstract
Jumping motion is an effective way to overcome large obstacles, especially for the miniature robots. However, controlling of the jumping trajectory on a centimeter scale robot is not easy due to the limitation of size and payload. None of the jumping robots lighter than 90 g achieved the feedback control of their jumping height and take-off angle independently. In this work, we proposed a miniature 6 g jumping robot that ensured the feedback control of jumping trajectory. Two simple PD controllers were used in take-off angle and jumping height control, respectively. The robot can control its jumping height from 0 to 73cm, take-off angle from −20° to +20° with respect to the vertical direction. The control errors of the jumping height and the take-off angle were less than 5 cm and 2°, respectively. The robot can hop upon different obstacles exactly, greatly increased the controllability of the micro jumping robot.
Lingqi Tang, Xuelin Wu, Yao Li 0014, Bing Li 0015
ICRA2