Abstract:
In the pursuit of sustainable development, the efficient management of logistics and
the reliable inspection of critical infrastructure are paramount.
Multi-robot systems offer promising solutions to address these challenges by
enhancing operational efficiency, reducing environmental impact,
and ensuring the safety and reliability of essential infrastructure.
Advancements in multi-robot systems, including autonomous car fleets, drones swarm for inspection, and logistic
robot systems, hold promise for enhancing daily life by
improving automation efficiency.
However, deploying robotic
systems in groups poses challenges such as cost-effective
perception implementation, dealing with measurement uncertainties,
real-time dynamic planning, and interactions with
other agents. Developing such multi-robot perception and
navigation systems is often time- and resource-demanding,
rendering this field less explored by the majority of the
academic community. We identify a significant domain gap
in this area that has yet to be fulfilled.
Through collaborative learning, hands-on challenges, and discussions on real-world applications, participants will gain valuable insights and tools to drive innovation in robotics, ultimately contributing to creating more sustainable and resilient societies.
We anticipate that user-friendly, cost-effective simula-tion evaluation environments will enhance access to explo-ration, planning, and control research and accelerate progress through quantitative comparisons to existing benchmarks.
Invited Speakers:
Professor
Department of Engineering Cybernetics
Norwegian University of Science and Technology
Tenured Associate Professor
Department of Control Science and Engineering
Zhejiang University
Associate Professor
School of Automation
Northwestern Polytechnical University
Assistant Professor
Department of Robotics
College of Science and Engineering
Ritsumeikan University
Assistant Professor
Department of Mechanical Engineering
National University of Singapore
Assistant Professor
School of Artificial Intelligence
Sun Yat-sen University
venue and timeļ¼
- The workshop opens in Room 16, ADNEC at 13:55, October 14th, 2024
- >Online Workshop:
- Join Zoom Meeting: https://ntu-sg.zoom.us/j/85121928595?pwd=PvqNoX2E1bbRUnJBG6AbMP2uZfYMPY.1
- Meeting ID: 851 2192 8595
- Passcode: 633981
Important Date:
(All dates and time are in GMT+4)
1.Competition Related:
- Last day to register for the challenge 24th September 2024.
- Last day to update your code 29th September 2024.
- Annoucement of results 4th October 2024.
- Workshop date 14th October 2024.
2.Workshop Paper Related:
- Submission site opens: May 1st, 2024
- Submission deadline: September 15th, 2024
- Notice of acceptance: September 27th, 2024
How to contact us:
Inquiries about workshops: shyuan@ntu.edu.sg and cc xu0021ng@e.ntu.edu.sgInquiries about competition: thienminh.npn@ieee.org and cc xu0021ng@e.ntu.edu.sg
Organizers:
Research Assistant
Professor
School of Electrical & Electronic Engineering
Nanyang Technological University
Research Fellow
School of Electrical & Electronic Engineering
Nanyang Technological University
Research Fellow
School of Electrical & Electronic Engineering
Nanyang Technological University
Research Assistant
School of Electrical & Electronic Engineering
Nanyang Technological University
Professor
Director for Centre for Advanced Robotics Technology Innovation (CARTIN)
President's Chair in Control Engineering
School of Electrical & Electronic Engineering
Nanyang Technological University
Professor
Vice-Chairman (Graduate)
Department of Mechanical and Automation Engineering
The Chinese University of Hong Kong
Centre for Advanced Robotics Technology Innovation (CARTIN), Nanyang Technological University
Hong Kong Center for Logistics Robotics (HKCLR), The Chinese University of Hong Kong