Uriel Martienz
Papers
1
Total Citations
33
H-Index
1
About
Uriel Martinez is a leading researcher in human-robot interaction, with a particular focus on the cognitive and communicative foundations of cooperative behavior. His work investigates how robots can move beyond simple tool-use to become true collaborative partners, capable of understanding and sharing plans with humans. A key contribution is his research on multimodal communication, where he explores how robots can integrate gaze and speech to effectively convey intentions and coordinate actions with naïve human users. His influential 2013 paper on this topic, which has garnered over 33 citations, provides a foundational framework for designing robots that can participate in the complex, dynamic structure of social cooperation. By tackling the core challenge of how artificial agents can communicate shared plans, Martinez’s work is critical for advancing applications in collaborative manufacturing, assistive robotics, and autonomous systems that must work seamlessly alongside people. His research directly addresses the fundamental question of how to build machines that can truly cooperate, not just coexist, with humans.
Research Focus
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Top Papers
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