Krishna Bharatia
Papers
1
Total Citations
8
H-Index
1
About
Krishna Bharatia is a robotics researcher whose work bridges the gap between open-source hardware and advanced simulation environments. His primary research areas include robotic modeling, simulation, and control systems, with a particular focus on quadruped robots and the Robot Operating System (ROS). Bharatia’s most cited work, “Construction of URDF model based on open source robot dog using Gazebo and ROS” (2019), has garnered 8 citations and represents a significant contribution to the field by providing a detailed methodology for creating custom Unified Robot Description Format (URDF) files for the OpenDog platform. This research enables researchers to port physical quadruped designs into Gazebo simulations, facilitating path planning algorithm development without requiring expensive hardware. By solving the critical challenge of translating mechanical and electronic designs into accurate simulation models, Bharatia has made quadruped robotics more accessible to students and researchers worldwide. His work exemplifies the practical integration of open-source hardware with industry-standard simulation tools, laying essential groundwork for future advancements in legged locomotion and autonomous navigation.
Research Focus
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Top Papers
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