Mircea Nicolescu
Papers
23
Total Citations
401
H-Index
11
About
Mircea Nicolescu is a prominent robotics and artificial intelligence researcher whose work centers on human-robot interaction, intent recognition, and multi-robot systems. He is perhaps best known for his pioneering application of Hidden Markov Models to understand human intentions in autonomous mobile robots, a contribution that has garnered over 176 citations and established foundational frameworks still referenced in the field today. His early vision-based architectures for intent recognition, developed as early as 2007, laid critical groundwork for machines capable of interpreting nuanced human behavior in real-world collaborative settings. Nicolescu's research spans an impressive breadth: from deep learning approaches using stacked denoising autoencoders for predicting human intent, to distributed control architectures enabling multi-robot teams to tackle complex, hierarchical tasks efficiently. His work on environmental monitoring with multi-robot teams and adaptive robotic grasping using RGB-depth data demonstrates a consistent drive toward practical, deployable systems. His most recent contributions explore multimodal human-robot interaction frameworks integrating gesture, gaze, speech, and sensor fusion — reflecting his ongoing commitment to making robots genuinely collaborative partners. Collectively, Nicolescu's body of work represents a sustained and highly cited effort to bridge the gap between human cognition and robotic intelligence.
Research Focus
Key Achievements
Top Papers
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- 4Multi-robot Teams for Environmental Monitoring22 citations · 2011
- 5A Vision-Based Architecture for Intent Recognition20 citations · 2007
- 6Deep networks for predicting human intent with respect to objects19 citations · 2012
- 7Understanding Activities and Intentions for Human-Robot Interaction17 citations · 2010
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- 10A compact task representation for hierarchical robot control11 citations · 2016