Tarek Ababsa

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About

Tarek Ababsa is a researcher in robotics and artificial intelligence, with a primary focus on metamorphic robotic systems—modular robots capable of autonomously reconfiguring their shape to adapt to changing environments or tasks. His major contributions lie in developing decentralized and evolutionary approaches to self-reconfiguration planning. In his most-cited work, "Genetic programming-based self-reconfiguration planning for metamorphic robot" (2017, 8 citations), Ababsa introduced a novel method that uses genetic programming to enable robots to autonomously plan and execute shape changes. His earlier paper, "Decentralized approach to evolve the structure of metamorphic robots" (2013, 4 citations), proposed a distributed strategy for lattice-based simulated metamorphic robots to evolve their structure without centralized control, enhancing robustness and scalability. These works address fundamental challenges in modular robotics, such as fault tolerance and adaptability, and have influenced subsequent research in self-reconfigurable systems. Ababsa’s research is notable for its emphasis on decentralized intelligence, offering practical pathways for building resilient, shape-shifting robots for applications in exploration, rescue, and manufacturing.