Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Arindam B. Chowdhury

dblp:203/4592 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2018
—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 · 67% Robot manipulation · 21% Motion planning and robot control · 12%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › aerial robots › aerial physical interaction
aerial manipulation
0.622018
Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor Mounting · ICRA 2018
Design of the I-BoomCopter UAV for environmental interaction · ICRA 2017
Robotics › Legged, aerial and field robots
aerial robots
0.622018
Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor Mounting · ICRA 2018
Design of the I-BoomCopter UAV for environmental interaction · ICRA 2017
Robotics › Motion planning and robot control
autonomous control
0.312018
Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor Mounting · ICRA 2018
Robotics › Legged, aerial and field robots › aerial robot control
UAV control
0.312018
Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor Mounting · ICRA 2018
Robotics › Robot manipulation
environment interaction
0.312017
Design of the I-BoomCopter UAV for environmental interaction · ICRA 2017
Robotics › Robot manipulation › nonprehensile manipulation
pushing and pulling
0.312017
Design of the I-BoomCopter UAV for environmental interaction · ICRA 2017
Robotics › Legged, aerial and field robots › aerial robots
UAV design
0.312017
Design of the I-BoomCopter UAV for environmental interaction · ICRA 2017

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

target tracking · 0.3image processing · 0.3reversible propeller · 0.3force sensing · 0.3
YearPublicationVenuePosition
2018 Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor Mounting
abstract
This paper presents a novel approach for autonomously mounting a sensor package on a vertical surface with an unmanned aerial vehicle (UAV). The Interacting-BoomCopter (I-BC) UAV uses an on-board webcam and computer along with a horizontally-mounted reversible propeller on its front boom to autonomously perform the aerial manipulation task. An overview of the vehicle design is presented along with the image processing algorithms used for target tracking, and the implementation of an extended finite state machine (EFSM) for carrying out the high-level autonomous control. The effectiveness of the autonomous control strategy and I-BC platform are examined through the performance of several autonomous sensor mounting flight tests.
Daniel R. McArthur, Arindam B. Chowdhury, David J. Cappelleri
ICRA2
2017 Design of the I-BoomCopter UAV for environmental interaction
abstract
This paper presents the design of the Interacting-BoomCopter (I-BoomCopter) unmanned aerial vehicle (UAV), designed specifically for environmental interactions. The novel design consists of a horizontally mounted four-blade reversible propeller on a front boom that is attached to a standard tri-rotor UAV configuration. A custom end-effector and force sensor is placed at the end of the front boom for autonomous pushing and pulling interaction tasks. The modeling of the new platform is presented and two prototype versions built, flight tested, and characterized. Finally, the efficacy of the new platform for environmental interactions is evaluated with an autonomous door opening task and a teleoperated door opening and door closing task.
Daniel R. McArthur, Arindam B. Chowdhury, David J. Cappelleri
ICRA2