Sivaranjani Jayaprakash

Manipal Academy of Higher Education, Robert Bosch (India)

Papers

2

Total Citations

10

H-Index

2

About

Sivaranjani Jayaprakash is a robotics researcher whose work focuses on the practical implementation of autonomous mobile systems and open-source robotic platforms. Her primary research areas include robot operating system (ROS) integration, simultaneous localization and mapping (SLAM), and human-robot interaction through speech recognition. Jayaprakash’s most notable contribution is her work on the OpenDog platform, where she detailed the process of constructing a custom URDF (Unified Robot Description Format) model for the open-source quadruped robot. This foundational work, published in 2019, enables researchers to port the OpenDog design into the ROS ecosystem for advanced path planning and simulation using Gazebo. Her earlier research explored the integration of mapping techniques with speech recognition for autonomous mobile robots operating in human-centric environments, addressing critical constraints of safety, autonomy, and efficiency. While her citation counts (8 and 2 for her top papers) reflect the emerging nature of her work, her contributions to open-source robotics—particularly in making quadruped platforms accessible for ROS-based research—represent a valuable resource for students and engineers working on accessible, low-cost robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Construction of URDF model based on open source robot dog using Gazebo and ROS
8 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Manipal Academy of Higher Education, Robert Bosch (India)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago