Konstantinos Vlachos
Papers
2
Total Citations
12
H-Index
2
About
Konstantinos Vlachos is a robotics researcher focused on safe, compliant human-robot collaboration. His work centers on achieving both high tracking accuracy and physical compliance—a critical challenge for robots operating near people. He is best known for introducing a novel control scheme that couples Dynamic Movement Primitives (DMPs) with a low-stiffness controlled robot, proving that the system can track encoded trajectories and reach targets more accurately than conventional approaches, even under unknown task dynamics and model uncertainties. This foundational work, published in 2020, has garnered 9 citations and established his reputation in adaptive control. More recently, in 2023, Vlachos extended this framework to enforce dynamic obstacle avoidance constraints across a robot’s full body, arguing that compliance alone is insufficient for safety—obstacle avoidance must also be guaranteed. His research directly addresses the trade-off between precision and flexibility, making him a notable contributor to the development of intrinsically safe, high-performance collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Enforcing Constraints for Dynamic Obstacle Avoidance by Compliant Robots3 citations · 2023