Simon Bøgh

Associate Professor

Aalborg University

Denmark

Research Interests

Explore related searches

Professors in Artificial Intelligence

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Simon Bøgh is an Associate Professor at Aalborg University in Denmark. His research focuses on reinforcement learning and its applications in various domains, including heating systems, robotic manipulation, and human-robot interaction. Recent publications include work on multi-agent systems, data-driven approaches for HVAC optimization, and the integration of artificial intelligence in industrial settings.

Articles (13)

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (9)

Dimitrios Chrysostomou

Aalborg University

DENMARK

View details

Carsten Skovmose Kallesoe

Aalborg University

DENMARK

View details

Emil Blixt Hansen

Aalborg University

DENMARK

View details

Ioan-Matei Sarivan

Aalborg University

DENMARK

View details

Ole Madsen

Aalborg Universitet Det Sundhedsvidenskabelige Fakultet

DENMARK

View details

Nadeem Iftikhar

Associate Professor

University College of Northern Denmark

DENMARK

View details

Andreas Kornmaaler Hansen

Aalborg University

DENMARK

View details

Chen Li

Aalborg University

DENMARK

View details

Nestor Arana-Arexolaleiba

Aalborg University

DENMARK

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Simon Bøgh

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

A Laboratory Test of an Offline-trained Multi-Agent Reinforcement Learning Algorithm for Heating Systems

Hey Max, Can You Help Me? An Intuitive Virtual Assistant for Industrial Robots

A review on reinforcement learning for contact-rich robotic manipulation tasks

Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment

Data-Driven Offline Reinforcement Learning for HVAC-Systems

Learning and generalising object extraction skill for contact-rich disassembly tasks

A Multi-Agent Reinforcement Learning Approach to Price and Comfort Optimization in HVAC-Systems

Artificial intelligence and internet of things in small and medium-sized enterprises

Towards a Collaborative Omnidirectional Mobile Robot in a Smart Cyber-Physical Environment

Deep Reinforcement Learning for Robot Batching Optimization and Flow Control

Enabling Real-Time Quality Inspection in Smart Manufacturing Through Wearable Smart Devices and Deep Learning

Concept of Easy-to-use Versatile Artificial Intelligence in Industrial Small & Medium-sized Enterprises

Mixed Reality Interface for Improving Mobile Manipulator Teleoperation in Contamination Critical Applications

Collaborators (9)

Dimitrios Chrysostomou

Carsten Skovmose Kallesoe

Emil Blixt Hansen

Ioan-Matei Sarivan

Ole Madsen

Nadeem Iftikhar

Andreas Kornmaaler Hansen

Chen Li

Nestor Arana-Arexolaleiba

Make your next move.