Category & trade
Primary
artificial-intelligence · embed-ft 0.69
Tree path
Technology & Computing › Artificial Intelligence
Group (tier-1)
Also (top-3)
robotics0.25
Tech stack
AI readiness
Compliance (GEO / GDPR)
TLD
Overview
Title
Sigmund Hennum Høeg
Description
Ph.D. graduate at the Robotics and Engineering Design Group at NTNU, focusing on applying learning methods to robotic planning and control. Research interests include Imitation Learning, Flow- and Diffusion Models for robotic planning and control, and Reinforcement Learning for robotic manipulation.
Final URL
Language
en (html)
Scanned at
2026-06-27 02:02:23