Rudy Negenborn Full Professor Main Publications Team & Themes Education Resume

Science in pictures To the point: Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning "The objective of this study is to address the issue of service time uncertainty in synchromodal freight transport, which can cause delays, inefficiencies, and reduced satisfaction for shippers. The proposed solution is an online deep Reinforcement Learning (RL) approach that takes into account the service time uncertainty, assisted by an Adaptive Large Neighborhood Search (ALNS) heuristic that pro..." [More...] Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning. Y. Zhang, R.R. Negenborn, B. Atasoy. Transportation Research Part C: Emerging Technologies, vol. 156, no. 104355, November 2023. Open access.    Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics "Motion control is one of the most critical aspects in the design of autonomousships. During maneuvering, the dynamics of propellers as well as the craft hy-drodynamical specifications experience sever uncertainties. In this paper, anadaptive control approach is proposed to control the motion and trajectorytracking of an autonomous vessel by adopting neural networks that is used f..." [More...] Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics. A. Haseltalab, R.R. Negenborn. Control Engineering Practice, vol. 91, no. 104116, October 2019.    Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics "Motion control is one of the most critical aspects in the design of autonomousships. During maneuvering, the dynamics of propellers as well as the craft hy-drodynamical specifications experience sever uncertainties. In this paper, anadaptive control approach is proposed to control the motion and trajectorytracking of an autonomous vessel by adopting neural networks that is used f..." [More...] Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics. A. Haseltalab, R.R. Negenborn. Control Engineering Practice, vol. 91, no. 104116, October 2019.    Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics "Motion control is one of the most critical aspects in the design of autonomousships. During maneuvering, the dynamics of propellers as well as the craft hy-drodynamical specifications experience sever uncertainties. In this paper, anadaptive control approach is proposed to control the motion and trajectorytracking of an autonomous vessel by adopting neural networks that is used f..." [More...] Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics. A. Haseltalab, R.R. Negenborn. Control Engineering Practice, vol. 91, no. 104116, October 2019.    Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics "Motion control is one of the most critical aspects in the design of autonomousships. During maneuvering, the dynamics of propellers as well as the craft hy-drodynamical specifications experience sever uncertainties. In this paper, anadaptive control approach is proposed to control the motion and trajectorytracking of an autonomous vessel by adopting neural networks that is used f..." [More...] Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics. A. Haseltalab, R.R. Negenborn. Control Engineering Practice, vol. 91, no. 104116, October 2019.    Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning "The objective of this study is to address the issue of service time uncertainty in synchromodal freight transport, which can cause delays, inefficiencies, and reduced satisfaction for shippers. The proposed solution is an online deep Reinforcement Learning (RL) approach that takes into account the service time uncertainty, assisted by an Adaptive Large Neighborhood Search (ALNS) heuristic that pro..." [More...] Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning. Y. Zhang, R.R. Negenborn, B. Atasoy. Transportation Research Part C: Emerging Technologies, vol. 156, no. 104355, November 2023. Open access.    Even more to the point: