Carlos Pascal
Papers
13
Total Citations
92
H-Index
6
About
Dr. Carlos Pascal is a leading researcher in intelligent robotic systems and multi-agent coordination, with a focus on bio-inspired and constraint-based approaches for autonomous vehicles and manufacturing. His seminal work on holonic coordination, integrating the contract net protocol with constraint satisfaction (2015, 18 citations), established a foundational framework for decentralized multi-robot planning. Pascal’s contributions extend to Industry 4.0, where he pioneered realistic virtual modeling of cylindrical robots using Automation Studio (2019, 12 citations) and developed a collaborative robotic system combining planning with holonic architecture (2009, 6 citations). His impactful research on automated dismantling of PCB waste (2021, 9 citations) addresses critical environmental challenges in electronics recycling. Pascal has also advanced swarm intelligence for vehicle grouping (2019, 7 citations) and bio-inspired coordination of autonomous vehicles in manufacturing and logistics (2020, 7 citations). His interdisciplinary work integrates deep learning and IoT for robotized applications (2018, 5 citations), demonstrating a commitment to bridging theoretical algorithms with practical, sustainable solutions. With over 80 total citations, Pascal’s research continues to shape the future of cooperative robotics and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A constraint satisfaction approach for planning of multi-robot systems12 citations · 2014
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- 5
- 6A Concept of Multiple-lane Vehicle Grouping by Swarm Intelligence7 citations · 2019
- 7
- 8Robotized application based on deep learning and Internet of Things5 citations · 2018
- 9Artificial Intelligence based Solutions for Cooperative Mobile Robots4 citations · 2012
- 10