Demo Data from EDBT 2026 / reviewers in the wild / expert
Arindam B. Chowdhury
dblp:203/4592
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › aerial robots › aerial physical interaction
aerial manipulation |
0.6 | 2 | 2018 | 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 |
0.6 | 2 | 2018 | 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 |
0.3 | 1 | 2018 | Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor Mounting · ICRA 2018 |
Robotics › Legged, aerial and field robots › aerial robot control
UAV control |
0.3 | 1 | 2018 | Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor Mounting · ICRA 2018 |
Robotics › Robot manipulation
environment interaction |
0.3 | 1 | 2017 | Design of the I-BoomCopter UAV for environmental interaction · ICRA 2017 |
Robotics › Robot manipulation › nonprehensile manipulation
pushing and pulling |
0.3 | 1 | 2017 | Design of the I-BoomCopter UAV for environmental interaction · ICRA 2017 |
Robotics › Legged, aerial and field robots › aerial robots
UAV design |
0.3 | 1 | 2017 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Autonomous Control of the Interacting-BoomCopter UAV for Remote Sensor MountingabstractThis 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 |
ICRA | 2 |
| 2017 | Design of the I-BoomCopter UAV for environmental interactionabstractThis 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 |
ICRA | 2 |