Papers
22
Total Citations
279
H-Index
8
About
Knut Graichen is a prominent researcher specializing in model predictive control, optimization-based robotics, and advanced motion planning for robotic systems. His most significant contribution is the development of Model Predictive Interaction Control (MPIC), a flexible and comprehensive framework that enables robots to intelligently manage both motion prediction and physical interaction forces during manipulation tasks. First introduced for industrial robots and later refined into a generic manipulation framework, MPIC has become a cornerstone of his research identity, accumulating over 110 combined citations across multiple publications. Graichen's work extends beyond single-arm systems, encompassing dual-arm cooperative control, closed-chain kinematics, and hierarchical quadratic programming for heavy object manipulation. His 2015 work on control design for a bionic kangaroo — one of his most-cited papers with 58 citations — showcases his ability to apply sophisticated control theory to unconventional, biomechanically inspired systems. Additional contributions in predictive path-following, distributed dynamic optimization, and external torque estimation further demonstrate the breadth of his expertise. Graichen's research is particularly valuable for engineers and students working at the intersection of optimal control theory and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Model Predictive Interaction Control for Robotic Manipulation Tasks66 citations · 2022
- 2Control design for a bionic kangaroo58 citations · 2015
- 3Model Predictive Interaction Control for Industrial Robots27 citations · 2020
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