Papers

3

Total Citations

7

H-Index

2

About

K. A. Venkatesh is a researcher at the intersection of computer vision and autonomous robotics, with a primary focus on object detection and path planning for robotic systems. Their work centers on enhancing the perceptual capabilities of robots, particularly within the dynamic and competitive environment of robosoccer—a standard platform for testing vision algorithms and decision-making in real-time. Venkatesh’s major contributions include pioneering the use of HOG-based object detection for soccer-playing robots and applying convolutional neural networks to improve detection accuracy in robosoccer settings. These studies, published in 2022, have each garnered 3 and 2 citations respectively, reflecting growing interest in their practical, application-driven approach. Additionally, their 2020 survey on robot path planning and prediction provides a multidisciplinary overview that bridges vision and navigation, earning 2 citations. Venkatesh’s work is notable for its focus on deploying lightweight, efficient vision systems that enable robots to perceive and interact with their environment autonomously, advancing the field of embodied AI. Their research is particularly valuable for students and engineers seeking to implement robust detection pipelines in resource-constrained robotic platforms.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
HOG-Based Object Detection Toward Soccer Playing Robots
3 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Myanmar Institute of Information Technology, Chanakya National Law University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago