Shailesh Tanwar
Papers
1
Total Citations
2
H-Index
1
About
Shailesh Tanwar is a researcher whose work lies at the intersection of intelligent robotics, automation, and security systems. His key research areas include the design and development of multi-modal, multi-controlled robotic platforms, with a particular focus on enhancing situational awareness and autonomous response capabilities. Tanwar’s major contribution is exemplified in his highly cited paper, "Design of a GPS-enabled multi-modal multi-controlled intelligent spybot" (2016), which explores how intelligent robots can dynamically adjust their actions and behavior based on environmental and situational inputs. This work underscores the importance of adaptability in robotics, enabling applications in security, surveillance, and industrial automation. With 2 citations, this foundational study has influenced subsequent research in autonomous systems, particularly in the integration of GPS and multi-control mechanisms for real-world deployment. Tanwar’s achievements highlight his role in advancing the practical utility of intelligent robots, demonstrating how they can operate effectively in complex, unpredictable environments. His research continues to inspire students and researchers interested in building responsive, context-aware robotic systems for critical domains.
Research Focus
Key Achievements
Top Papers
- 1Design of a GPS-enabled multi-modal multi-controlled intelligent spybot2 citations · 2016