Leeladhar Gudala
Papers
1
Total Citations
2
H-Index
1
About
Leeladhar Gudala is a researcher at the forefront of Industry 4.0, specializing in the integration of deep reinforcement learning (DRL) and real-time data analytics for advanced industrial robotics. His most cited work, "Deep Reinforcement Learning-Based Real-time Data Analytics of Automatic Industrial Robot for High Speed Communication" (2024), introduces an innovative Collision Criticality (CC) LSTM-DRL approach that revolutionizes robot trajectory planning. By combining long short-term memory networks with DRL, Gudala enables industrial robots to navigate complex environments with diverse obstacles, achieving real-time collision avoidance—a critical capability for high-speed communication in smart manufacturing. This contribution directly addresses the pressing need for autonomous, adaptive robotic systems in modern factories. Though early in his citation trajectory (2 citations), his work signals a significant leap in applying AI to industrial automation, promising safer, more efficient production lines. Gudala’s research bridges the gap between theoretical AI and practical robotics, positioning him as a rising voice in the evolution of intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1