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EDBT 2026 Demo / reviewers in the wild / expert

Huai-Ti Lin

dblp:151/9730 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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
2 papers
Legged, aerial and field robots · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › aerial robots
micro aerial vehicle		 0.412020
Bioinspired object motion filters as the basis of obstacle negotiation in micro aerial systems · ICRA 2020
Robotics › Legged, aerial and field robots › rough terrain locomotion
obstacle traversal		 0.412020
Bioinspired object motion filters as the basis of obstacle negotiation in micro aerial systems · ICRA 2020
Robotics › Legged, aerial and field robots › aerial robot control
bio-inspired flight control		 0.212014
Flying between obstacles with an autonomous knife-edge maneuver · ICRA 2014

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

bio-inspired motion filter · 0.4flight experiments · 0.2
YearPublicationVenuePosition
2020 Bioinspired object motion filters as the basis of obstacle negotiation in micro aerial systems
Huai-Ti Lin
 ICRA2
2014 Flying between obstacles with an autonomous knife-edge maneuver
abstract
Avian flight far exceeds our best aircraft control systems. We have conducted a series of experiments at the Concord Field Station demonstrating the extraordinary maneuverability of the common pigeon, showing it darting through tight spaces and recovering from large disturbances with ease. Our goal is to understand how to make small fixed-wing aircraft achieve similar feats in equally challenging environments.
Andrew J. Barry, Tim Jenks, Anirudha Majumdar, Huai-Ti Lin, Ivo G. Ros, Andrew A. Biewener, Russ Tedrake
 ICRA4