Akhilesh Kumar Mishra

Memorial University of Newfoundland

Papers

2

Total Citations

24

H-Index

2

About

Akhilesh Kumar Mishra’s research focuses on advancing human-robot interaction through intuitive, sensor-driven control systems, particularly for robotic arm manipulation. His major contribution lies in developing a cost-effective, user-friendly technique that combines depth-sensing cameras with inverse kinematics to translate natural user movements into precise robotic arm motions. This approach significantly lowers the barrier to entry for operating robotic arms, making it more accessible than traditional, often expensive and complex methods. Mishra’s most-cited work, “Robot arm manipulation using depth-sensing cameras and inverse kinematics” (2014, 21 citations), demonstrates the practical impact of his innovation. He further validated the system’s effectiveness through a simulation-based evaluation in his 2016 paper, “Evaluation of an Inverse-Kinematics Depth-Sensing Controller for Operation of a Simulated Robotic Arm” (3 citations). By prioritizing affordability and ease of learning, Mishra’s work has direct implications for assistive robotics, industrial automation, and educational tools, marking him as a researcher dedicated to making advanced robotic control accessible to a wider audience.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Robot arm manipulation using depth-sensing cameras and inverse kinematics
21 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Memorial University of Newfoundland

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago