Harshitha Gandra
Papers
1
Total Citations
2
H-Index
1
About
Harshitha Gandra is a researcher at the forefront of robotics and artificial intelligence, with a primary focus on vision-based control systems and their application in construction automation. Her most-cited work, "Vision-Based Control of Construction Robots Using Transfer Learning Approach" (2024), addresses a critical challenge in the industry: the high risk of musculoskeletal disorders among human workers performing repetitive, strenuous tasks. By integrating transfer learning into robotic vision systems, Gandra enables construction robots to adapt and operate safely in dynamic, unstructured environments—a significant departure from rigid manufacturing settings. This contribution not only advances human-robot collaboration but also lays the groundwork for more intelligent, autonomous construction equipment. With 2 citations since its 2024 publication, her work is gaining traction among peers exploring practical AI-driven solutions for industrial safety and efficiency. Gandra’s research bridges the gap between cutting-edge machine learning and real-world engineering, positioning her as an emerging voice in the field of construction robotics. Her efforts promise to reshape how dangerous manual labor is performed, making construction sites safer and more productive for future generations of workers.
Research Focus
Key Achievements
Top Papers
- 1