Konstantinos Sirlantzis
Papers
16
Total Citations
237
H-Index
8
About
Konstantinos Sirlantzis is a leading researcher at the intersection of robotics, artificial intelligence, and assistive technologies, with a particular focus on lower-limb exoskeletons and surgical robotic systems. His work has garnered over 220 citations, reflecting its significant impact on both clinical rehabilitation and autonomous systems. Sirlantzis has made pioneering contributions to pediatric robotics, addressing the critical gap in exoskeleton design for children with neurological disorders. His 2023 study on a novel pediatric lower-limb exoskeleton (22 citations) and his 2022 work on deep learning models for forecasting gait trajectories in children (20 citations) are particularly notable, offering feedforward control strategies for powered orthotic devices. He also co-authored a comprehensive 2023 review on augmented reality in surgical robotics (62 citations), highlighting challenges and solutions for integrating AR into robotic-assisted surgery. Beyond these, Sirlantzis has advanced path planning for car-like robots using RRT*FN and developed walking algorithms for humanoid robots like NAO. His research consistently bridges theoretical innovation with practical applications, from smart wheelchair obstacle avoidance to online background subtraction for monitoring systems, making him a key figure in shaping the future of intelligent, human-centered robotics.
Research Focus
Key Achievements
Top Papers
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- 6Robotics13 citations · 2018
- 7Non-holonomic path planning of car-like robot using RRT*FN12 citations · 2015
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