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Changyong (Chase) Cao

dblp:384/9563 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-5067-1716ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 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
Legged, aerial and field robots · 44% Robot manipulation · 44% Motion planning and robot control · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › soft robotics
soft actuator
0.712023
A Soft, Lightweight Flipping Robot With Versatile Motion Capabilities for Wall-Climbing Applications · IEEE Trans. Robotics 2023
Robotics › Legged, aerial and field robots › field robotics
wall-climbing robot
0.712023
A Soft, Lightweight Flipping Robot With Versatile Motion Capabilities for Wall-Climbing Applications · IEEE Trans. Robotics 2023
Robotics › Motion planning and robot control
locomotion control
0.212023
A Soft, Lightweight Flipping Robot With Versatile Motion Capabilities for Wall-Climbing Applications · IEEE Trans. Robotics 2023

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

theoretical modeling · 0.7electroadhesion · 0.7
YearPublicationVenuePosition
2023 A Soft, Lightweight Flipping Robot With Versatile Motion Capabilities for Wall-Climbing Applications
abstract
Soft wall-climbing robots have been limited in their ability to perform complex locomotion in diverse environments due to their structure and weight. Thus far, soft wall-climbing robots with integrated functions that can locomote in complex 3-D environments are yet to be developed. This article addresses this challenge by presenting a lightweight (2.57 g) soft wall-climbing robot with integrated linear, turning, and transitioning motion capabilities. The soft robot employs three pneumatic bending actuators and two adaptive electroadhesion pads, which enable it to flip forward, transition between two walls, turn in two directions, and adhere to various surfaces. Different motion and control strategies are proposed based on a theoretical model. The experimental results demonstrate that the robot can move at an average speed of 3.85 mm/s (0.08 body length/s) on horizontal, vertical, and inverted walls and make transitions between walls with different pinch angles within 180°. Additionally, the soft robot can carry a miniature camera on vertical walls to perform detection and surveillance tasks. This article provides a reliable structure and control strategy to enhance the multifunctionality of soft wall-climbing robots and enable their applications in unstructured environments.
Rui Chen 0015, Xinrui Tao, Changyong (Chase) Cao, Pei Jiang 0006, Jun Luo 0006, Yu Sun 0001
IEEE Trans. Robotics3