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Erik Teder

dblp:389/3107 · DBLP profile ↗
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1ranked-venue papers
1as 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 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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 · 100%

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
0.912025
Effective Self-Righting Strategies for Elongate Multi-Legged Robots · ICRA 2025
Robotics › Legged, aerial and field robots › legged robots
multi-legged robot
0.912025
Effective Self-Righting Strategies for Elongate Multi-Legged Robots · ICRA 2025
Robotics › Legged, aerial and field robots › dynamic balance control
self-righting
0.912025
Effective Self-Righting Strategies for Elongate Multi-Legged Robots · ICRA 2025
Robotics › Legged, aerial and field robots
bio-inspired robot
0.312025
Effective Self-Righting Strategies for Elongate Multi-Legged Robots · ICRA 2025

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

traveling wave model · 0.9kinematic analysis · 0.9
YearPublicationVenuePosition
2025 Effective Self-Righting Strategies for Elongate Multi-Legged Robots
abstract
Centipede-like robots offer an effective and robust solution to navigation over complex terrain with minimal sensing. However, when climbing over obstacles, such multi-legged robots often elevate their center-of-mass into unstable configurations, where even moderate terrain uncertainty can cause tipping. Robust mechanisms for such elongate multi-legged robots to self-right remain unstudied. Here, we use a comparative biological and robophysical approach to investigate self-righting strategies. We first released S. polymorpha upside down from a 10 cm height and recorded their self-righting behaviors using top and side view high-speed cameras. Using kinematic analysis, we hypothesize that these behaviors can be prescribed by two traveling waves superimposed in the body's lateral and vertical planes, respectively. We tested our hypothesis on an elongate robot with static (non-actuated) limbs, and we successfully reconstructed these self-righting behaviors. We further evaluated how wave parameters affect self-righting effectiveness. We identified two key wave parameters: the spatial frequency, which characterizes the sequence of body-rolling, and the wave amplitude, which characterizes body curvature. By empirically obtaining a behavior diagram of spatial frequency and amplitude, we identify effective and versatile self-righting strategies for general elongate multi-legged robots, which greatly enhances these robots' mobility and robustness in practical applications such as agricultural terrain inspection and search-and-rescue.
Erik Teder, Baxi Chong, Juntao He, Tianyu Wang 0010, Massimiliano Iaschi, Daniel Soto 0002, Daniel I. Goldman
ICRA1