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En-Chieh Tsui

dblp:416/6667 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved

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
Legged, aerial and field robots · 61% Motion planning and robot control · 30% Autonomous driving · 9%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics
0.912025
Indoor and Outdoor Multi-Terrain Stair-Climbing Robot Design · ICRA 2025
Robotics › Motion planning and robot control
robot control
0.912025
Indoor and Outdoor Multi-Terrain Stair-Climbing Robot Design · ICRA 2025
Robotics › Legged, aerial and field robots › rough terrain locomotion
stair-climbing robot
0.912025
Indoor and Outdoor Multi-Terrain Stair-Climbing Robot Design · ICRA 2025
Robotics › Autonomous driving › vehicle control
four wheel independent steering and drive
0.312025
Indoor and Outdoor Multi-Terrain Stair-Climbing Robot Design · ICRA 2025

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

worm gear self-locking · 0.9shock absorption · 0.9
YearPublicationVenuePosition
2025 Indoor and Outdoor Multi-Terrain Stair-Climbing Robot Design
abstract
This paper introduces an noval autonomous mobile robot, IOMT, designed for indoor and outdoor multi-terrain environments, with a particular focus on stair-climbing capabilities. The robot features a four-wheel independent drive and steering system (4WID-4WIS), allowing it to maintain high maneuverability on smooth surfaces. Furthermore, based on reducing the complexity of the control, the IOMT addresses the challenges associated with stair climbing by controlling the stable pitch angle, effectively reducing the impact of stairs on the robot's posture, such as the pitch angle minimized to an angle smaller than the inclination of the stairs. The design also incorporates a special mechanism that reduces energy consumption through its worm gear system with self-locking characteristics, and combines steering with shock absorption to simplify both the mechanism complexity. This paper not only briefly proposes a stair climbing strategy for the IOMT, but also explores the impact of various design parameters on the robot pitch angle, ultimately validating the feasibility of the design for the stair climbing ability.
En-Chieh Tsui, Wei-Shun Yu, Pei-Chun Lin
ICRA2