Haakon Robinson

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Dynamic Environments

Multilayer Perceptron

Collision Avoidance

Top Venues

Eng. Appl. Artif. Intell.

Publications

Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl
Deep learning assisted physics-based modeling of aluminum extraction process. Eng. Appl. Artif. Intell. 125 (2023)
Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell. CDC (2023)
Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
Sparse neural networks with skip-connections for nonlinear system identification. CoRR (2023)
Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process. CoRR (2022)
Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
Physics guided neural networks for modelling of non-linear dynamics. CoRR (2022)
Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
Physics guided neural networks for modelling of non-linear dynamics. Neural Networks 154 (2022)
Anne Håkansson, Aya Saad, Akhil Anand, Vilde Gjærum, Haakon Robinson, Katrine Seel
Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. KES (2021)
Akhil Anand, Katrine Seel, Vilde Gjærum, Anne Håkansson, Haakon Robinson, Aya Saad
Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. KES (2021)
Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. IEEE Access 8 (2020)
Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. CoRR (2019)
Haakon Robinson, Adil Rasheed, Omer San
Dissecting Deep Neural Networks. CoRR (2019)