Muskan Deswal
Papers
1
Total Citations
6
H-Index
1
About
Muskan Deswal is a rising researcher in intelligent robotics and human-robot interaction, with a focus on developing safer, more adaptive autonomous systems. Her most-cited work, "Intelligent Robotic Arm: Adaptive Collision Avoidance Using Current Fluctuation Analysis in Human-Proximity Scenarios" (2024, 6 citations), introduces a novel approach to real-time collision avoidance by monitoring current fluctuations in motor power lines. This method enables robotic arms to detect human proximity without relying on expensive external sensors, prioritizing precision and versatility in actuators. Deswal’s contributions address a critical gap in industrial and collaborative robotics: enhancing safety while maintaining operational efficiency. Her research has immediate implications for manufacturing, healthcare, and assistive technologies, where human-robot coexistence is essential. Though early in her career, Deswal’s work demonstrates a strong commitment to practical, cost-effective solutions for real-world robotic challenges. As her citation count grows, she is positioned to influence the next generation of adaptive robotic systems, making human-robot collaboration more intuitive and secure.
Research Focus
Key Achievements
Top Papers
- 1