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Fotios Valouxis

dblp:416/5428 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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 · 70% Motion planning and robot control · 30%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots
biped robot
0.912025
A Virtual Gravity Controller for Efficient Underactuated Biped Robots · ICRA 2025
Robotics › Legged, aerial and field robots
legged robots
0.912025
A Virtual Gravity Controller for Efficient Underactuated Biped Robots · ICRA 2025
Robotics › Motion planning and robot control
robot control
0.912025
A Virtual Gravity Controller for Efficient Underactuated Biped Robots · ICRA 2025
Robotics › Legged, aerial and field robots
passive dynamic walking
0.312025
A Virtual Gravity Controller for Efficient Underactuated Biped Robots · ICRA 2025

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

physics simulation · 0.9analytical controller design · 0.9
YearPublicationVenuePosition
2025 A Virtual Gravity Controller for Efficient Underactuated Biped Robots
abstract
This paper introduces a virtual gravity controller for underactuated biped robots. A bio-inspired model of passive bipedal walking is used as the basis for the controller's design. An analytical expression of the controller is obtained, allowing on-line implementations of the developed control scheme. Following a design modification tailored to the controller, the robot is able to reproduce its passive gait even on level-ground. The results are verified via independent high-fidelity physics simulations of the real robot's digital twin. The active robot demonstrates significant dynamic convergence to the passive model's dynamics, with only minor motorization efforts. The developed control scheme showcases robustness and energetic efficiency, and leads the way to a design-oriented approach in active biped locomotion.
Despoina Maligianni, Fotios Valouxis, Antonios Kantounias, Aikaterini Smyrli, Evangelos Papadopoulos
ICRA2