About

Mohan Rajesh Elara is a pioneering robotics researcher whose work sits at the intersection of reconfigurable robotics, autonomous navigation, and intelligent systems for real-world cleaning and maintenance applications. Best known for his groundbreaking contributions to self-reconfigurable robot design, Elara has developed novel robotic platforms capable of adapting their physical configurations to tackle complex environments — from floor surfaces to the glass facades of towering skyscrapers. His 2018 paper on reconfigurable floor-cleaning robots (118 citations) and his 2019 work integrating deep-learning-based crack detection into façade-cleaning systems (92 citations) exemplify his ability to bridge cutting-edge AI with practical robotic hardware. Elara has also made significant strides in autonomous path planning, proposing deep reinforcement learning and bio-inspired neural network approaches to optimize coverage efficiency and energy consumption. His taxonomy framework for self-reconfigurable systems (84 citations) provides the broader research community with a rigorous evaluative foundation. Beyond robotics, his contributions to multidisciplinary engineering design education (79 citations) demonstrate a commitment to shaping the next generation of engineers. With over 850 citations across his most impactful work, Elara stands as a highly influential voice in modern service and field robotics.

Research Focus

Key Achievements

34
H-Index
215
Papers
3,833
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Floor cleaning robot with reconfigurable mechanism
118 citations · 2018
📈 Most Prolific Year: 2021 (39 Papers)
🤝 Key Collaborators: 230
🏛 Institutions: Singapore University of Technology and Design, Universidad Autónoma de Ciudad Juárez, Singapore Polytechnic, Singapore University of Social Sciences, Nanyang Technological University, Delhi Technological University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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