Papers

2

Total Citations

24

H-Index

2

About

Matthew Connolly is a robotics researcher specializing in the automated design and simulation of robotic manipulation systems, with a particular focus on gripper technology. His work addresses the critical challenge of reducing the time and effort required to develop effective robotic end-effectors. Connolly’s major contribution is the creation of a novel methodology that integrates Computer-Aided Design (CAD) with simulation environments to automatically generate, iterate, and validate gripper finger designs. This approach streamlines a traditionally complex, manual process, enabling faster design cycles and more robust performance. His most cited paper, “Automatic simulation-based design and validation of robotic gripper fingers” (2022), has garnered 16 citations, underscoring its influence in the field. Additionally, his review on realistic simulation of robotic grasping tasks (2021) provides a comprehensive framework for leveraging simulation in manufacturing contexts, further demonstrating his impact. By bridging the gap between design and real-world application, Connolly’s work is paving the way for more efficient and adaptable robotic systems, making him a notable contributor to the advancement of automated manufacturing and intelligent robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Automatic simulation-based design and validation of robotic gripper fingers
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University College Dublin, I-Form Advanced Manufacturing Research Centre

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago