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Roshan Balu T. M. B

dblp:349/0143 · DBLP profile ↗
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1ranked-venue papers
0as 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 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 · 87% Motion planning and robot control · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.712023
AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions · ICRA 2023
Robotics › Legged, aerial and field robots › aerial robots › UAV design
quadrotor endurance
0.712023
AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions · ICRA 2023

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

magnetic connector design · 0.7electromagnet docking · 0.7
YearPublicationVenuePosition
2023 AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions
abstract
Battery endurance represents a key challenge for long-term autonomy and long-range operations, especially in the case of aerial robots. In this paper, we propose AutoCharge, an autonomous charging solution for quadrotors that combines a portable ground station with a flexible, lightweight charging tether and is capable of universal, highly efficient, and robust charging. We design and manufacture a pair of circular magnetic connectors to ensure a precise orientation-agnostic electrical connection between the ground station and the charging tether. Moreover, we supply the ground station with an electromagnet that largely increases the tolerance to localization and control errors during the docking maneuver, while still guaranteeing smooth un-docking once the charging process is completed. We demonstrate AutoCharge on a perpetual 10 hours quadrotor flight experiment and show that the docking and un-docking performance is solidly repeatable, enabling perpetual quadrotor flight missions.
Alessandro Saviolo, Jeffrey Mao, Roshan Balu T. M. B, Vivek Radhakrishnan, Giuseppe Loianno
ICRA3