Papers

18

Total Citations

191

H-Index

8

About

Cheruvu Siva Kumar is a leading researcher in robotics, with a focus on assistive technologies, mobile robot dynamics, and robotic manipulation. His most influential work, "Trajectory Path Planning of EEG Controlled Robotic Arm Using GA" (53 citations), pioneers Brain-Computer Interface (BCI) systems to enhance the quality of life for individuals with severe motor disabilities, enabling them to interact with their environment through thought-controlled robotic arms. Kumar has also made foundational contributions to nonholonomic mobile robotics, developing modular dynamic formulations and detailed slip dynamics that are critical for high-speed, precise maneuvering. His research extends to robotic hand design, where he has analyzed the effect of hand geometry and object size on workspace and grasp performance, including underactuated hands for strong and immobilizing grasps. In surgical robotics, he has advanced continuum robot kinematics for minimally invasive procedures. Kumar is also a leader in engineering education, creating web-based simulation and remote-triggered laboratories for robots, making robotics accessible worldwide. With over 160 citations across his top papers, his work spans from sensor error modeling using Allan Variance to industrial robot kinematics in WebGL, demonstrating a broad and impactful career dedicated to advancing both the theory and application of robotics for human benefit.

Research Focus

Key Achievements

8
H-Index
18
Papers
191
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Path Planning of EEG Controlled Robotic Arm Using GA
53 citations · 2016
📈 Most Prolific Year: 2016 (5 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Indian Institute of Technology Kharagpur, Government of West Bengal

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago