Kannan Peesapati
Fraunhofer Institute for Machine Tools and Forming Technology
Papers
1
Total Citations
22
H-Index
1
About
Dr. Kannan Peesapati is a leading researcher in industrial robotics, specializing in human-robot collaboration and collision avoidance for agile manufacturing. His work addresses the critical challenge of ensuring safe, efficient interaction between humans and heavy-duty industrial robots, which pose unique risks due to large stopping distances and significant self-occlusion areas. His most-cited paper, "Local and Global Sensors for Collision Avoidance" (2020, 22 citations), introduces a dual-sensor framework that combines local and global perception to enable real-time hazard detection and avoidance in complex production cells. This contribution is pivotal for advancing Industry 4.0, allowing robots to operate safely alongside human workers without sacrificing productivity. Dr. Peesapati’s research has practical implications for reducing workplace injuries and optimizing automation in high-risk environments. His work is recognized for bridging the gap between theoretical safety algorithms and real-world industrial deployment, making him a key figure in the evolution of collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1Local and Global Sensors for Collision Avoidance22 citations · 2020