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Teodoro Dias

dblp:341/5345 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
—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 · 93% Motion planning and robot control · 7%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.712023
BogieCopter: A Multi-Modal Aerial-Ground Vehicle for Long-Endurance Inspection Applications · ICRA 2023
Robotics › Legged, aerial and field robots
field robotics
0.712023
BogieCopter: A Multi-Modal Aerial-Ground Vehicle for Long-Endurance Inspection Applications · ICRA 2023
Robotics › Legged, aerial and field robots › locomotion
multimodal locomotion
0.712023
BogieCopter: A Multi-Modal Aerial-Ground Vehicle for Long-Endurance Inspection Applications · ICRA 2023
Robotics › Legged, aerial and field robots › field robotics
robotic inspection
0.712023
BogieCopter: A Multi-Modal Aerial-Ground Vehicle for Long-Endurance Inspection Applications · ICRA 2023

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

wall-climbing · 0.7tiltable axles · 0.7passive wheels · 0.7
YearPublicationVenuePosition
2023 BogieCopter: A Multi-Modal Aerial-Ground Vehicle for Long-Endurance Inspection Applications
abstract
The use of Micro Aerial Vehicles (MAVs) for inspection and surveillance missions has proved to be extremely useful, however, their usability is negatively impacted by the large power requirements and the limited operating time. This work describes the design and development of a novel hybrid aerial-ground vehicle, enabling multi-modal mobility and long operating time, suitable for long-endurance inspection and monitoring applications. The design consists of a MAV with two tiltable axles and four independent passive wheels, allowing it to fly, approach, land and move on flat and inclined surfaces, while using the same set of actuators for all modes of locomotion. In comparison to existing multi-modal designs with passive wheels, the proposed design enables a higher ground locomotion efficiency, provides a higher payload capacity, and presents one of the lowest mass increases due to the ground actuation mechanism. The vehicle's performance is evaluated through a series of real experiments, demonstrating its flying, ground locomotion and wall-climbing capabilities, and the energy consumption for all modes of locomotion is evaluated.
Teodoro Dias, Meysam Basiri
ICRA1