Anderson Leite

Instituto Federal da Bahia

Papers

1

Total Citations

3

H-Index

1

About

Anderson Leite is a leading researcher in Human-Robot Interaction (HRI) and socially-aware robotics, with a focus on developing intuitive communication systems for service robots. His most cited work, "An Architecture for Social-Aware Navigation Based on a Chatbot Interaction" (2022), introduces the Erika architecture—a pioneering framework that integrates voice-based chatbot technology to enable more natural and fluid interactions between humans and robots in shared social environments. This contribution addresses the critical challenge of coexistence in increasingly robot-populated spaces, enhancing how robots interpret and respond to human social cues. With 3 citations, this paper has already attracted attention from peers working on social navigation and HRI design. Leite’s research bridges artificial intelligence, robotics, and user experience, offering practical solutions for real-world deployment. His work is particularly notable for its emphasis on accessibility and user-centered design, making advanced robotics more approachable for non-experts. As the field accelerates toward widespread service robot adoption, Leite’s innovations in chatbot-mediated interaction position him as a key voice in shaping the future of human-robot collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
An Architecture for Social-Aware Navigation Based on a Chatbot Interaction
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Instituto Federal da Bahia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago