Zeli Ma

Papers

2

Total Citations

7

H-Index

2

About

Zeli Ma’s research lies at the intersection of assistive robotics, autonomous navigation, and human-robot interaction, with a particular focus on developing intelligent systems for elderly care and dynamic home environments. In his highly cited review (2018, 4 citations), Ma provides an evidence-based framework for high-level robot functionality in elderly care, identifying essential characteristics—from commercial voice assistants to research prototypes—that robotic care systems must integrate to address social and physical needs. Building on this foundation, his work on semantic enhanced navigation (2019, 3 citations) tackles the critical challenge of household robots operating in cluttered, narrow spaces. Ma proposes a novel approach that enables robots to not only navigate but also manipulate movable obstacles, ensuring seamless movement and task completion in real-world homes. By combining semantic understanding with autonomous manipulation, his contributions advance the practicality of service robots in everyday settings. Ma’s research is notable for bridging the gap between theoretical functionality and real-world deployment, offering a roadmap for robots that are both socially aware and physically capable. His work continues to inspire innovations in assistive and domestic robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A review of high-level robot functionality for elderly care
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago