Chennareddy Pavanth Kumar Reddy
Papers
4
Total Citations
28
H-Index
4
About
Chennareddy Pavanth Kumar Reddy is a robotics researcher whose work bridges autonomous perception, rehabilitation engineering, and real-time control systems. His most cited paper, "Evaluation of Human Intervention-Based Hybrid Approach for Position and Depth Estimation With Error Correction" (9 citations), tackles a core challenge in autonomous robotics: enabling robots to accurately estimate the position and depth of objects in unfamiliar environments. By integrating human feedback with algorithmic error correction, Reddy enhances robotic situational awareness for remote operation. In rehabilitation, his "Voice-based Hand Orthotic Device" (8 citations) offers a novel assistive solution for stroke and spinal cord injury patients, allowing them to control hand function through voice commands—a compassionate application of robotics to restore independence. Reddy also advances industrial robotics with his work on "ROS Based Six-DOF Robotic Arm Control Through CAN Bus Interface" (7 citations), demonstrating efficient, distributed control of a six-degree-of-freedom arm using a Raspberry Pi and CAN bus network. Complementing this, his research on "Inverse Kinematics of Robot Manipulator Integrated with Image Processing Algorithms" (4 citations) fuses vision and motion planning for precise manipulation. With over 28 total citations, Reddy’s contributions stand out for their practical, human-centered focus—from autonomous depth estimation to voice-controlled orthotics—making him a promising voice in accessible and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Voice-based Hand Orthotic Device8 citations · 2019
- 3ROS Based Six-DOF Robotic Arm Control Through CAN Bus Interface7 citations · 2021
- 4