[robotics-worldwide] [jobs] Postdoc position Shaping collective dynamics in multi-robot systems TU Delft

Javier Alonso-Mora J.AlonsoMora at tudelft.nl
Wed Mar 21 05:53:00 PDT 2018


Postdoc position Shaping collective dynamics in multi-robot systems at TU Delft
Detailed vacancy:
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.academictransfer.com_employer_TUD_vacancy_46163_lang_en_&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=_mNXDytZnovv4t1-9Loqy71Ni1oNiSPhiuWsUJ6Y6zY&s=XJTXX3571KxlUDa3xlm6m78IMgwa4ahaCIOHdvfnT4Y&e=

The departments Delft Center for Systems and Control (DCSC), Cognitive
Robotics (CoR) and Process and Energy (P&E) of the faculty of
Mechanical, Maritime and Materials Engineering (3mE) are cooperating
on the topic of self-organizing multi-robot systems. The number of
potential applications of such systems is vast: swarms of nano-robots
can perform distributed sensing tasks and drug delivery in the human
body; groups of robots can form self-deploying sensor networks that
operate in inaccessible or dangerous environments, and teams of robots
can guide pedestrian flows in panic escape situations.

Our aim is to produce versatile and reconfigurable robotic systems
that can perform complex tasks fully autonomously by using only
simple, reliable and low-cost building blocks. The challenge is to
steer robust organisation of collective dynamics by controlling only
local dynamics. In this project we will develop analysis and synthesis
methods that link collective dynamics to the local (constrained and
nonlinear) robot dynamics and their interactions.

Our proposed methodology will build upon several interdisciplinary components:

- Recent advantages in modelling and analysis of interacting nonlinear
systems, including identification and stability assessment of the
global, large-scale patterns;

- State-of-the-art methods for collision avoidance, local motion
planning and consensus, which achieve good performance with low
computational and communication footprints;

- Efficient simulation methods to realistically capture physical
forces in real-life systems, such as inertial forces.

For more information about this position, please contact dr Erik
Steur, Assistant Professor, email: e.steur at tudelft.nl. For information
about the selection procedure, please contact Irina Bruckner, HR
advisor, email: i.bruckner at tudelft.nl.

To apply, please submit the following:
1) a detailed CV, including contact information of three references,
2) a brief motivation letter (1-2 pages) stating research interests and vision.
Please email your application by 1 May 2018, to Irina Bruckner,
application-3mE at tudelft.nl.
When applying for this position, please refer to vacancy number 3ME18-24.

Detailed vacancy:
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.academictransfer.com_employer_TUD_vacancy_46163_lang_en_&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=_mNXDytZnovv4t1-9Loqy71Ni1oNiSPhiuWsUJ6Y6zY&s=XJTXX3571KxlUDa3xlm6m78IMgwa4ahaCIOHdvfnT4Y&e=

Regards,

Dr. Javier Alonso-Mora, Assistant Professor
Autonomous Multi-Robots Lab, Cognitive Robotics, 3mE
Delft University of Technology
Mekelweg 2, Room C-2-310, 2628 CD Delft, Netherlands
Phone: +31 152 785 489, Web: www.alonsomora.com


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