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Author

O. Sawodny

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Conference Aug 2026

Computationally Efficient and Robust Vehicle State and Road Friction Estimation under Sensor Faults Using a Two-Stage UKF*

Sensor fault detection is crucial for safe vehicle control, requiring rapid and accurate estimation under highly nonlinear dynamics. While the unscented Kalman filter (UKF) provides a powerful framework, augmenting the state vector with faults and parameters significantly increases computational load. To address this,...

Sebastian Lippold, O. Sawodny · 0 citations
Conference Jul 2026

Multi-Agent Reinforcement Learning for Mobile Robots under Kinematic Reachability Constraints *

Mobile manipulators on construction sites offer considerable potential for increasing productivity, as the transport of materials and the execution of precise assembly work can be increasingly automated. However, the coordination of several such robots is a complex planning task, as task assignment, navigation, and rea...

Charlotte Stein, Yuheng Zhi, Michael C. Yip et al. · 0 citations
Conference Jul 2026

Smooth, Repeatable, and Highly Dynamic In-Hand Manipulation via Decentralized Adaptable Multi-Actuator Trajectory Planning

Dexterous in-hand manipulation is becoming increasingly important as robotic systems evolve toward agile, general-purpose automation. This paper presents a decentralized, grid-based trajectory planning approach for in-hand manipulation that coordinates the eleven degrees of freedom of a fully pneumatically actuated ant...

Samuel Pilch, C. Ebert, Artem Beger et al. · 0 citations

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