Antonio Bandera
Papers
66
Total Citations
1,138
H-Index
20
About
Antonio Bandera is a prominent Spanish robotics researcher whose work spans mobile robot navigation, social robotics, and human-robot interaction. Based at the University of Málaga, Bandera has made foundational contributions to how robots perceive and navigate their environments, particularly through his innovative curvature-based feature extraction methods for 2D laser range sensors — work that has accumulated over 150 citations across multiple publications and remains influential in mobile robotics. Perhaps his most socially impactful research lies in rehabilitation robotics. Bandera has been a driving force behind the NAOTherapist and THERAPIST platforms, developing autonomous social robots to assist children in motor and neurorehabilitation therapies, with these projects collectively drawing over 120 citations. His 2018 review on perceiving human social interactions further established him as a key voice in social robotics literature. Bandera's architectural contributions, including the CORTEX cognitive robotics framework, demonstrate his commitment to building robust, scalable robotic systems. His survey on vision-based robot learning by imitation and work on GPU-accelerated path planning round out a remarkably diverse portfolio. With over 500 combined citations, his research bridges fundamental navigation challenges with deeply humanistic applications in healthcare and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 2The CORTEX cognitive robotics architecture: Use cases72 citations · 2019
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- 8Testing a Fully Autonomous Robotic Salesman in Real Scenarios43 citations · 2015
- 9A SURVEY OF VISION-BASED ARCHITECTURES FOR ROBOT LEARNING BY IMITATION42 citations · 2012
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