Einar Ueland

About

Einar Ueland is a researcher whose work sits at the intersection of robotics, control systems, and marine engineering, with a particular focus on cable-driven parallel robots (CDPRs) and autonomous marine systems. His major contributions include developing novel, continuously differentiable solutions for force allocation in overconstrained CDPRs—a critical advancement for ensuring smooth, stable, and computationally efficient control in complex robotic systems. This work, his most cited paper with 45 citations, directly addresses a key challenge in the field. Ueland has also made significant strides in marine robotics, demonstrating the first implementation of a 2D-LiDAR and SLAM for autonomous exploration on a model-scale surface vessel. Further extending his impact, he has pioneered the use of actuated winches with position-controlled motors for precise force tracking in real-time hybrid hydrodynamic model testing—a technique essential for emulating complex ocean structures. His research on optimal actuator placement for such hybrid testing rounds out a portfolio that bridges theoretical robotics with practical, high-stakes maritime applications, establishing him as a key contributor to both CDPR theory and marine autonomy.

Research Focus

Key Achievements

Top Papers

1. 1
   Optimal Force Allocation for Overconstrained Cable-Driven Parallel Robots: Continuously Differentiable Solutions With Assessment of Computational Efficiency

   45 citations · 2020
2. 2
   Marine Autonomous Exploration Using a Lidar and SLAM

   16 citations · 2017
3. 3
   Force Tracking Using Actuated Winches With Position-Controlled Motors for Use in Hydrodynamical Model Testing

   14 citations · 2021
4. 4
   Optimal Actuator Placement for Real-Time Hybrid Model Testing Using Cable-Driven Parallel Robots

   6 citations · 2021

Key Collaborators

Contact & Links