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

Gareth Cross

dblp:163/9077 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2015
0009-0008-3110-0078ORCID · reported

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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 · 92% Multi-agent systems · 8%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.212015
Design of small, safe and robust quadrotor swarms · ICRA 2015
Robotics › Legged, aerial and field robots › aerial robots
quadrotor
0.212015
Design of small, safe and robust quadrotor swarms · ICRA 2015
Robotics › Legged, aerial and field robots › aerial robots › UAV swarm
quadrotor swarm
0.212015
Design of small, safe and robust quadrotor swarms · ICRA 2015
Robotics › Legged, aerial and field robots › aerial robots › multi-UAV coordination
formation flight
0.112015
Design of small, safe and robust quadrotor swarms · ICRA 2015
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination
0.112015
Design of small, safe and robust quadrotor swarms · ICRA 2015

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

external motion capture feedback · 0.2carbon fiber cage design · 0.2
YearPublicationVenuePosition
2015 Design of small, safe and robust quadrotor swarms
abstract
Scaling down the size and mass of micro aerial vehicles (MAVs) increases their agility and their ability to operate in tight formations. In addition, smaller robots are safer and, as we will show in this paper, more robust to collisions. This paper addresses the development of a pico quadrotor measuring 11 cm from tip to tip, with a mass of 25g. To increase the robustness of the robot to collisions, the vehicle is equipped with a 2 gram carbon fiber cage that protects it from impact velocities in excess of 4 m/s and also permits recovery after collisions. We present the design of the electrical, mechanical and computational elements, as well as experimental results demonstrating trajectory following with feedback from an external motion camera system, recovery from collisions with walls and other robots, and formation flight.
Yash Mulgaonkar, Gareth Cross, Vijay Kumar 0001
ICRA2