Joan Jaume Oliver

Papers

1

Total Citations

4

H-Index

1

About

Joan Jaume Oliver is a researcher at the intersection of human-robot interaction and computer vision, with a primary focus on enabling more natural, intuitive communication between people and machines. His most cited work, "Body Gesture Recognition to Control a Social Robot" (2022), introduces a gesture-based language that allows humans to command robots using whole-body movements. To achieve this, Oliver developed a novel neural network model trained on a custom dataset of human gestures, pushing the boundaries of non-verbal, contactless control in social robotics. This contribution is particularly significant for assistive and collaborative robots, where traditional interfaces like keyboards or voice commands may be impractical. With 4 citations, this paper has already begun to influence researchers working on gesture-driven interfaces and embodied AI. Oliver’s work stands out for its emphasis on naturalness and accessibility, aiming to make robot interaction as effortless as human-to-human communication. His research is a vital step toward a future where robots seamlessly understand and respond to our physical cues, opening new possibilities in healthcare, education, and domestic assistance.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Body Gesture Recognition to Control a Social Robot
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago