Vladimir Estivill‐Castro
Papers
36
Total Citations
347
H-Index
11
About
Vladimir Estivill-Castro is a multifaceted researcher whose work spans human-robot interaction, autonomous robotics, educational technology, and AI-driven decision-making. Best known for his investigations into socially assistive robotics, his 2015 pilot study on the CuDDler robot's emotional impact on older adults with dementia has garnered 87 citations, highlighting the real-world therapeutic potential of companion robots. His early inquiry into children's perceptions of robotic pets versus biological animals (2004) helped lay conceptual groundwork for understanding how humans form relationships with intelligent machines. Estivill-Castro has made substantial contributions to competitive autonomous robotics through the RoboCup platform, developing fully neural object detection pipelines and real-time deep learning scene understanding systems that have advanced the state of the art in robot soccer and beyond. His work on trust-building through robotic explanations in human-humanoid collaboration addresses a critical frontier in making robots effective teammates. Beyond technical systems, he has explored planning under uncertainty, non-monotonic reasoning for robot localization, and hybrid robotic architectures. His 2019 work inviting teachers to incorporate educational robotics into mathematical problem-solving reflects a commitment to translating robotics research into meaningful learning outcomes, demonstrating the broad societal reach of his scholarship.
Research Focus
Key Achievements
Top Papers
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- 4Fully neural object detection solutions for robot soccer14 citations · 2021
- 5Architecture for Hybrid Robotic Behavior14 citations · 2009
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- 7Real-Time Scene Understanding Using Deep Neural Networks for RoboCup SPL13 citations · 2019
- 8Non-monotonic Reasoning for Localisation in RoboCup13 citations · 2005
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- 10Path-finding in dynamic environments with PDDL-planners11 citations · 2013