Sandesh Giri
Papers
1
Total Citations
7
H-Index
1
About
Sandesh Giri is a rising researcher at the forefront of intelligent manufacturing and robotics, whose work centers on bridging the gap between simulation and real-world control systems. His primary research areas include digital twin technology, deep reinforcement learning (RL), and adaptive control for additive manufacturing. Giri’s most notable contribution, detailed in his highly cited 2025 paper “Digital Twin Synchronization: Bridging the Sim-RL Agent to a Real-Time Robotic Additive Manufacturing Control,” addresses a critical bottleneck in smart manufacturing: the challenge of transferring reinforcement learning policies from simulated environments to physical robotic systems. By developing a synchronization framework that enables real-time adaptive control, Giri has demonstrated how digital twins can serve as effective intermediaries, allowing RL agents to dynamically adjust to manufacturing variability without costly retraining. This work has already garnered 7 citations in its first year, signaling strong interest from both academic and industrial communities. Giri’s research holds promise for revolutionizing flexible production lines, where robots must autonomously adapt to changing materials and geometries. His achievements mark him as a key voice in the next wave of cyber-physical production systems.
Research Focus
Key Achievements
Top Papers
- 1