Papers
65
Total Citations
2,987
H-Index
20
About
Lazaros Nalpantidis is a prominent robotics and computer vision researcher whose work spans stereo vision, robot learning, and intelligent manufacturing systems. His early contributions established foundational frameworks for stereo vision algorithms, with his 2008 review paper garnering nearly 400 citations and remaining an essential reference for researchers working at the intersection of machine vision and robotics. Building on this, his investigations into adaptive stereo correspondence and non-ideal lighting conditions further cemented his expertise in robust visual perception. Nalpantidis has made substantial contributions to robotic manipulation and learning, co-authoring highly influential survey papers on dual arm manipulation (546 citations) and model-based reinforcement learning (538 citations) that have shaped the field's understanding of these rapidly evolving domains. His work on robot skills for industrial deployment (458 citations) has bridged the gap between academic research and real-world manufacturing applications, demonstrating both theoretical depth and practical impact. His research portfolio also reflects a forward-looking vision: from autonomous space exploration robots and cognitive manufacturing systems to precision agricultural robotics using deep learning. With multiple papers each exceeding hundreds of citations, Nalpantidis has established himself as a versatile and impactful contributor whose work continues to influence robotics research across academia and industry alike.
Research Focus
Key Achievements
Top Papers
- 1Dual arm manipulation—A survey546 citations · 2012
- 2Survey of Model-Based Reinforcement Learning: Applications on Robotics538 citations · 2017
- 3Robot skills for manufacturing: From concept to industrial deployment458 citations · 2015
- 4Review of Stereo Vision Algorithms: From Software to Hardware388 citations · 2008
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- 7Real-time deep learning of robotic manipulator inverse dynamics80 citations · 2015
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