Papers

2

Total Citations

9

H-Index

2

About

Harsha Penumatcha is a rising researcher in autonomous robotics, specializing in sensor fusion and intelligent navigation systems for indoor environments. His work centers on integrating advanced computational platforms with multi-sensor arrays to enhance robotic autonomy and precision. In his highly cited 2024 paper, "Design and Integration of a Multi-Sensor System for Enhanced Indoor Autonomous Navigation," Penumatcha leverages the NVIDIA Jetson Xavier NX as a powerful computational core, combining it with critical sensors to process complex data for real-time decision-making. This work, garnering 5 citations, demonstrates his ability to push the boundaries of indoor robotics. His subsequent study, "Developing an Autonomous Robotics System Utilizing Camera and IMU Fusion with PID-Based Path Correction," with 4 citations, further showcases his expertise by fusing visual data from a Logitech web camera with Inertial Measurement Unit (IMU) dynamics. This integration enables precise lane following and path correction, highlighting his contributions to robust, real-world autonomous systems. Penumatcha’s research is pivotal for advancing robotics in constrained spaces, offering scalable solutions for industries like logistics and healthcare. His innovative approach to sensor fusion and computational efficiency marks him as a promising talent in the field, with growing impact evident in his citation record.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Design and Integration of a Multi-Sensor System for Enhanced Indoor Autonomous Navigation
5 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: North Carolina Agricultural and Technical State University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago