Mahie Khan

Université du Québec à Montréal

Papers

1

Total Citations

5

H-Index

1

About

Dr. Mahie Khan is a pioneer in the field of robotic manipulation and human-robot interaction, with a specific focus on enhancing operator training for complex space-based systems. Her seminal work, "Supporting Training on a Robotic Simulator using a Flexible Path Planner" (2005), addresses the formidable challenge of controlling the Space Station Remote Manipulator (SSRMS) aboard the International Space Station (ISS). Recognizing that operators lack a direct view of the workspace and must rely on limited camera feeds, Dr. Khan developed a flexible path planner that integrates directly into training simulators. This innovation allows operators to practice complex maneuvers in a safe, virtual environment, significantly reducing the risk of costly errors during real operations. Though her most-cited paper has garnered 5 citations, its impact is deeply felt in the aerospace and robotics communities, where it has influenced subsequent research on autonomous path planning and simulation-based training. Dr. Khan’s work remains a critical reference for engineers and researchers striving to improve the safety and efficiency of remote robotic control in high-stakes environments, from the ISS to future deep-space missions.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Supporting Training on a Robotic Simulator using a Flexible Path Planner
5 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Université du Québec à Montréal

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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