Gianmarco Battista

University of Parma, Marche Polytechnic University

Papers

2

Total Citations

10

H-Index

2

About

Gianmarco Battista is a researcher advancing the frontiers of human-robot interaction and collaborative robotics, with a focus on sensorization and perception systems. His work lies at the intersection of Industry 4.0 technologies, particularly in developing measurement and sensing frameworks that enable safer, more intuitive cooperation between humans and machines. Battista’s most cited paper (8 citations) introduces a people detection measurement setup using a direction-of-arrival (DOA) approach on a sensorised social robot, combining audio signal processing with visual data to localize individuals in indoor environments. This work demonstrates his expertise in multimodal sensing for social robotics. In a second notable contribution (2 citations), he addresses a critical challenge in collaborative robotics: collision avoidance. By integrating 3D depth measurement systems into collaborative robots, Battista’s research enhances safety in shared human-robot workspaces, removing the need for physical barriers. His contributions are particularly relevant to the growing field of Human-Robot Collaboration (HRC), where reliable sensing is essential for real-world deployment. Battista’s work not only advances technical capabilities in robot perception but also supports the practical integration of robots into industrial and social settings, marking him as a promising voice in the next generation of robotics research.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
People detection measurement setup based on a DOA approach implemented on a sensorised social robot
8 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Parma, Marche Polytechnic University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago