Martin Saska presents Profesorská přednáška před Vědeckou radou/ Professorial Lecture at the Scientific Council meeting
On 2025-01-08 13:00:00 at Technická 2, Praha 6, místnost T2:D3-209
Profesorská přednáška na téma Multirobotické Systémy doc. Ing. Martina
Sasky, Dr. rer. nat. před Vědeckou radou FEL ČVUT/
Professorial lecture at the Scientific Council meeting, topic: Multi-robot
systems
You tube link:
https://youtube.com/playlist?list=PLQL6z4JeTTQlCmnn476bHdbeUatwKg7db
Abstract:
Agile and tightly cooperating Unmanned Aerial Vehicles (UAVs) in demanding
real-world environments with a high density of obstacles (such as forests) will
be presented. Deploying teams of flying robots without external localization
such as GNSS and motion capture systems brings numerous challenges especially
if
the UAV perception must be done at high speeds and close to the terrain. Some
achievements of the research of fully autonomous aerial teams relying on
onboard
artificial intelligence will be presented. The important research questions of
whether the UAV groups can adapt better to localization failure than a single
robot and how cooperative aerial vehicles can achieve high agility in high
obstacle-density areas will be discussed. In addition to the fundamental
swarming research, real applications of multi-robot systems such as indoor
documentation of large historical objects (cathedrals) by formations of
cooperating UAVs, a cooperative inspection of underground mines inspired by the
DARPA SubT competition, localization and interception of unauthorized drones,
aerial firefighting, radiation sources localization, power line inspection, and
marine teams of cooperating heterogeneous robots will be briefly introduced.
Sasky, Dr. rer. nat. před Vědeckou radou FEL ČVUT/
Professorial lecture at the Scientific Council meeting, topic: Multi-robot
systems
You tube link:
https://youtube.com/playlist?list=PLQL6z4JeTTQlCmnn476bHdbeUatwKg7db
Abstract:
Agile and tightly cooperating Unmanned Aerial Vehicles (UAVs) in demanding
real-world environments with a high density of obstacles (such as forests) will
be presented. Deploying teams of flying robots without external localization
such as GNSS and motion capture systems brings numerous challenges especially
if
the UAV perception must be done at high speeds and close to the terrain. Some
achievements of the research of fully autonomous aerial teams relying on
onboard
artificial intelligence will be presented. The important research questions of
whether the UAV groups can adapt better to localization failure than a single
robot and how cooperative aerial vehicles can achieve high agility in high
obstacle-density areas will be discussed. In addition to the fundamental
swarming research, real applications of multi-robot systems such as indoor
documentation of large historical objects (cathedrals) by formations of
cooperating UAVs, a cooperative inspection of underground mines inspired by the
DARPA SubT competition, localization and interception of unauthorized drones,
aerial firefighting, radiation sources localization, power line inspection, and
marine teams of cooperating heterogeneous robots will be briefly introduced.
External www: https://intranet.fel.cvut.cz/cz/vr/