Information Technology

Intelligent Maps Enhance Robot Navigation in Homes

Saeed Gholami Shahbandi, PhD student at the School of Information Technology, presented his thesis on June 14, 2018.

Halmstad University

”In a workspace where robots and humans operate side by side, it is important that the robots are ’well-behaved’ and aware of their surroundings. Semantic maps are one means of providing this enhanced understanding to the robot”, says PhD student Saeed Gholami Shahbandi at the School of Information Technology at Halmstad University.

Saeed Gholami Shahbandi will defend his PhD thesis on the subject on June 14. In his research, Saeed Gholami Shahbandi proposes map interpretation techniques through modelling and semantic annotation, in an attempt to enrich the final robotic map.

”Robotic mapping is a well-advanced field of research, relying and benefiting from a lot of different improvements in robotics, machine learning and computer vision. Such a rich discipline of research has made it possible to develop methods that can handle challenging environments such as warehouses, office buildings or homes.”

”I look forward to seeing this line of research improve human quality of life further and that robots will be accessible for everyone in their everyday life. I hope I will have the privilege to extend my contribution in this field”, says Saeed Gholami Shahbandi.

Read more on Halmstad University web.

Thesis: Interpretation and Alignment of 2D Indoor Maps: Towards a Heterogeneous Map Representation

Contact

Webb: saeed.im

E-mail: saeed.gholami_shahbandi@hh.se

Comments (0)

Write a comment