Sigmund Hennum Høeg
About
I am a Ph.d. candidate in the Robotics and Automation Group at the Department of Mechanical and Industrial Engineering. I am interested in how we can make robots that are more intelligent, and can do a number of tasks. Specifically, I am interested in how we can combine techniques from Reinforcement Learning and Generative Modeling to synthesize complex robotic behavior that is able to solve intricate tasks.
Check out the fireside chat I did with Sergey Levine for the Workshop on Learning from Diverse, Offline Data at RSS 2022!
Publications
2022
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Høeg, Sigmund Hennum;
Tingelstad, Lars;
Njaastad, Eirik B.
(2022)
Learning to grasp: A study of learning-based methods for robotic grasping.
NTNU
Masters thesis
Report
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Høeg, Sigmund Hennum;
Tingelstad, Lars;
Njaastad, Eirik B.
(2022)
Learning to grasp: A study of learning-based methods for robotic grasping.
NTNU
Masters thesis
Knowledge Transfer
2022
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PosterHøeg, Sigmund Hennum; Tingelstad, Lars. (2022) More Than Eleven Thousand Words: Towards Using Language Models for Robotic Sorting of Unseen Objects into Arbitrary Categories. Workshop on Language and Robot Learning, CoRL 2022 , Auckland 2022-12-14 - 2022-12-18