Real-time hand guiding of industrial manipulator in 5 DOF using Microsoft Kinect and accelerometer. - Signe Moe; Ingrid Schjølberg (RO-MAN, 2013)

Path following of underactuated marine surface vessels in the presence of unknown ocean currents. - Signe Moe; Walter Caharija; Kristin Ytterstad Pettersen; Ingrid Schjølberg (ACC, 2014)

Null-space-based behavior guidance of planar dual-arm UVMS. - Signe Moe; Gianluca Antonelli; Kristin Ytterstad Pettersen (ROBIO, 2014)

Stability analysis for set-based control within the singularity-robust multiple task-priority inverse kinematics framework. - Signe Moe; Andrew R. Teel; Gianluca Antonelli; Kristin Ytterstad Pettersen (CDC, 2015)

Incorporating set-based control within the singularity-robust multiple task-priority inverse kinematics. - Gianluca Antonelli; Signe Moe; Kristin Ytterstad Pettersen (MED, 2015)

Experimental results for set-based control within the singularity-robust multiple task-priority inverse kinematics framework. - Signe Moe; Gianluca Antonelli; Kristin Ytterstad Pettersen; Johannes Schrimpf (ROBIO, 2015)

Set-based Line-of-Sight (LOS) path following with collision avoidance for underactuated unmanned surface vessel. - Signe Moe; Kristin Ytterstad Pettersen (MED, 2016)

Line-of-sight curved path following for underactuated USVs and AUVs in the horizontal plane under the influence of ocean currents. - Signe Moe; Kristin Ytterstad Pettersen; Thor I. Fossen; Jan Tommy Gravdahl (MED, 2016)

Set-Based Tasks within the Singularity-Robust Multiple Task-Priority Inverse Kinematics Framework: General Formulation, Stability Analysis, and Experimental Results. - Signe Moe; Gianluca Antonelli; Andrew R. Teel; Kristin Ytterstad Pettersen; Johannes Schrimpf (Frontiers Robotics AI, 2016)

Set-Based line-of-sight (LOS) path following with collision avoidance for underactuated unmanned surface vessels under the influence of ocean currents. - Signe Moe; Kristin Ytterstad Pettersen (CCTA, 2017)

Kinematic singularity avoidance for robot manipulators using set-based manipulability tasks. - Jorgen Sverdrup-Thygeson; Signe Moe; Kristin Ytterstad Pettersen; Jan Tommy Gravdahl (CCTA, 2017)

Additive manufacturing by robot manipulator: An overview of the state-of-the-art and proof-of-concept results. - Linn Danielsen Evjemo; Signe Moe; Jan Tommy Gravdahl; Olivier Roulet-Dubonnet; Lars Tore Gellein; Vegard Brotan (ETFA, 2017)

Set-based path following and obstacle avoidance for underwater snake robots. - Anna M. Kohl; Signe Moe; Eleni Kelasidi; Kristin Ytterstad Pettersen; Jan Tommy Gravdahl (ROBIO, 2017)

Machine Learning in Control Systems: An Overview of the State of the Art. - Signe Moe; Anne Marthine Rustad; Kristian G. Hanssen (SGAI Conf., 2018)

Set-Based Control for Autonomous Spray Painting. - Signe Moe; Jan Tommy Gravdahl; Kristin Ytterstad Pettersen (IEEE Trans Autom. Sci. Eng., 2018)

Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization. - Eivind Bøhn; Erlend M. Coates; Signe Moe; Tor Arne Johansen (CoRR, 2019)

Accelerating Reinforcement Learning with Suboptimal Guidance. - Eivind Bøhn; Signe Moe; Tor Arne Johansen (CoRR, 2019)

Path Following, Obstacle Detection and Obstacle Avoidance for Thrusted Underwater Snake Robots. - Eleni Kelasidi; Signe Moe; Kristin Ytterstad Pettersen; Anna M. Kohl; Pål Liljebäck; Jan Tommy Gravdahl (Frontiers Robotics AI, 2019)

Linear Antisymmetric Recurrent Neural Networks. - Signe Moe; Filippo Remonato; Esten Ingar Grøtli; Jan Tommy Gravdahl (L4DC, 2020)

Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning. - Eivind Bøhn; Sebastien Gros; Signe Moe; Tor Arne Johansen (CoRR, 2020)

Neural Network-Based Model Predictive Control with Input-to-State Stability. - Katrine Seel; Esten Ingar Grøtli; Signe Moe; Jan Tommy Gravdahl; Kristin Ytterstad Pettersen (ACC, 2021)

Stable and robust neural network controllers. - Camilla Sterud; Signe Moe; Jan Tommy Gravdahl (ECC, 2021)

On the Effects of Properties of the Minibatch in Reinforcement Learning. - Eivind Bøhn; Signe Moe; Tor Arne Johansen (INTAP, 2021)

Decoupling dynamics and sampling: RNNs for unevenly sampled data and flexible online predictions. - Signe Moe; Camilla Sterud (L4DC, 2021)

Reinforcement Learning of the Prediction Horizon in Model Predictive Control. - Eivind Bøhn; Sebastien Gros; Signe Moe; Tor Arne Johansen (CoRR, 2021)

Optimization of the model predictive control meta-parameters through reinforcement learning. - Eivind Bøhn; Sebastien Gros; Signe Moe; Tor Arne Johansen (Eng. Appl. Artif. Intell., 2023)