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Daniel Mirsky

dblp:135/8355 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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
Multi-agent systems · 67% Legged, aerial and field robots · 33%
Computer networks
1 paper
Internet of things and sensor networks · 50% Wireless sensing and localization · 50%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
distributed control
0.212013
TinyTeRP: A Tiny Terrestrial Robotic Platform with modular sensing · ICRA 2013
Robotics › Legged, aerial and field robots
miniature robot
0.212013
TinyTeRP: A Tiny Terrestrial Robotic Platform with modular sensing · ICRA 2013
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems
0.212013
TinyTeRP: A Tiny Terrestrial Robotic Platform with modular sensing · ICRA 2013
Wireless sensing and localization
RF sensing
0.012013
TinyTeRP: A Tiny Terrestrial Robotic Platform with modular sensing · ICRA 2013
Internet of things and sensor networks
wireless sensor network
0.012013
TinyTeRP: A Tiny Terrestrial Robotic Platform with modular sensing · ICRA 2013

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

RSSI · 0.3802.15.4 radio · 0.3
YearPublicationVenuePosition
2013 TinyTeRP: A Tiny Terrestrial Robotic Platform with modular sensing
abstract
The TinyTeRP is a small, low-cost, modular robotics platform used to study robot sensing and control in large numbers of miniature robots. A fully assembled TinyTeRP costs approximately $50, is 1.7 × 1.8 × 2 cm3, and can move at speeds up to 50 cm/s. The robot is designed around a wheeled platform onto which different circuit boards can be stacked providing hardware modularity. The base module integrates a microcontroller with an 802.15.4 radio used for both sensing and communication between robots. An inertial sensing module used to improve single robot control is provided as an example of an additional sensing board. A simple `rendezvous' algorithm using received signal strength indicator (RSSI) data from the radio illustrates a distributed control algorithm with the TinyTeRP.
Andrew P. Sabelhaus, Daniel Mirsky, Maxwell Hill, Nuno C. Martins, Sarah Bergbreiter
ICRA2