Ira Khan
Papers
1
Total Citations
2
H-Index
1
About
Ira Khan’s research centers on industrial robotics, automation systems, and networked control architectures, with a particular focus on overcoming the limitations of closed-architecture robot controllers. In their most-cited work, “Using extended G-code algorithms for networked industrial robots” (2004), Khan tackled the critical challenge of integrating industrial robots into large-scale automation networks. By proposing extended G-code algorithms, they provided a practical pathway for enabling communication and coordination among robots that traditionally operate as isolated units. This contribution addressed a fundamental barrier in modern manufacturing: the difficulty of networking robots with non-open control systems. Though the paper has accrued 2 citations, its conceptual groundwork has informed subsequent efforts to bridge proprietary robot controllers with open, networked environments. Khan’s work is notable for its foresight in anticipating the industry’s shift toward interconnected production systems, where robots must function as collaborative nodes rather than standalone tools. Their research remains relevant for students and engineers exploring the intersection of legacy automation hardware and contemporary Industry 4.0 networking demands.
Research Focus
Key Achievements
Top Papers
- 1Using extended G-code algorithms for networked industrial robots2 citations · 2004