Sandesh Gowda
Papers
2
Total Citations
13
H-Index
2
About
Sandesh Gowda’s research lies at the intersection of autonomous robotics, sensor integration, and socially impactful technology. His work focuses on developing intelligent systems that enable robots to perceive, navigate, and assist in real-world environments—from personal robotics to humanitarian applications. In his highly cited paper on multi-modal sensor and HMI integration (2015, 7 citations), Gowda explored how combining computer vision, motion planning, and affordable sensors can make personal robots more intuitive and accessible for individual assistance. His second major contribution, a thesis on autonomous robotic landmine detection, mapping, and avoidance (2015, 6 citations), addresses a critical global challenge: the safe detection and removal of landmines in post-conflict regions. By designing detection algorithms for autonomous navigation, Gowda’s work offers a scalable, life-saving solution to a problem affecting millions in approximately 78 countries. Together, these contributions highlight his commitment to bridging advanced robotics with pressing societal needs, demonstrating how autonomous systems can both enhance daily life and mitigate humanitarian crises. Gowda’s research continues to inspire students and engineers working at the nexus of robotics, ethics, and real-world impact.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous Robotic Landmine Detection, Mapping And Avoidance6 citations · 2015