Papers
5
Total Citations
130
H-Index
3
About
Konstantinos Kokkalis is a robotics researcher whose work spans human-robot collaboration and robotic automation for waste management. His most significant contributions lie in the domain of power and force limiting for industrial robots, addressing one of the central challenges in safely deploying robots alongside human workers. His 2019 paper on power and force limiting in human-robot collaboration has garnered 88 citations, establishing him as a notable voice in collaborative robotics safety. Complementing this, his 2018 work introduced a sensorless approach to force limitation, leveraging time-invariant dynamic models and Artificial Neural Networks to predict joint torques without external sensors — a practically impactful contribution that has accumulated 35 citations. More recently, Kokkalis has pivoted toward intelligent robotic systems for sustainable waste sorting, developing flexible, robot-agnostic architectures for construction and demolition waste management. His RaapWaste framework and related cyber-physical sorting systems reflect a growing interest in scalable automation for hazardous, labor-intensive environments. Across his career, Kokkalis demonstrates a consistent drive to make industrial robots safer, smarter, and more adaptable to real-world challenges.
Research Focus
Key Achievements
Top Papers
- 1Power and force limiting on industrial robots for human-robot collaboration88 citations · 2019
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