Koppaka Ganesh Sai Apuroop
Singapore University of Technology and Design, Amrita Vishwa Vidyapeetham
Papers
8
Total Citations
178
H-Index
6
About
Koppaka Ganesh Sai Apuroop is a robotics researcher whose work focuses on creating intelligent, autonomous systems for real-world service and inspection tasks. His primary research areas include deep learning for robotic manipulation, reinforcement learning for path planning, and the design of specialized robots for infrastructure maintenance. Apuroop’s most impactful contribution is his work on a table-cleaning Human Support Robot (HSR), which uses deep learning to inspect and clean food courts—a paper that has garnered 58 citations. He has also advanced the field of area coverage with a reinforcement learning-based path planning algorithm for a modified hTrihex robot (47 citations), enabling more efficient cleaning in complex environments. Beyond service robots, Apuroop has designed innovative inspection robots, including a self-reconfigurable drain mapping robot inspired by giraffe locomotion and a false ceiling inspection robot called Falcon. His early work on robotic arm control through human mimicry (38 citations) demonstrates a commitment to intuitive human-robot interaction. With a portfolio spanning from cloud-based system architectures to multi-robot formations, Apuroop’s research is distinguished by its practical focus on deploying robots in challenging, unstructured environments, making him a notable figure in the field of service and inspection robotics.
Research Focus
Key Achievements
Top Papers
- 1Table Cleaning Task by Human Support Robot Using Deep Learning Technique58 citations · 2020
- 2
- 3Robotic arm control through mimicking of miniature robotic arm38 citations · 2017
- 4
- 5Falcon: A False Ceiling Inspection Robot7 citations · 2021
- 6
- 7
- 8Towards a Cloud-Based System Architecture for Drain Inspection Robots3 citations · 2021