Jari J. van Steen
Papers
6
Total Citations
43
H-Index
4
About
Jari J. van Steen is a robotics researcher whose work focuses on a critical yet underexplored frontier in robotic manipulation: the controlled exploitation of intentional impacts. Rather than avoiding collisions, van Steen’s research develops control frameworks that enable robots to harness impacts for faster, more efficient tasks, particularly in dual-arm manipulation and grasping. His major contributions center on two innovative control strategies: Quadratic Programming-Based Reference Spreading and Time-Invariant Reference Spreading. These frameworks directly address the complex challenges of tracking control when robotic manipulators must execute nominally simultaneous impacts at multiple contact points—a scenario that traditionally destabilizes standard controllers. By allowing robots to rapidly grasp objects through planned, intentional collisions, van Steen’s work promises to significantly increase the speed and efficiency of industrial and service robotics. His most cited paper (2022, 15 citations) lays the foundation for this approach, while his subsequent publications (2024, 13 citations; 2023, 6 citations) extend the framework to dual-arm systems and time-invariant control. van Steen’s research is paving the way for a new generation of impact-aware robots that can operate with unprecedented agility and robustness.
Research Focus
Key Achievements
Top Papers
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