ProfessorsProfessors of Technische Universität MünchenKonstantin Ritt

Konstantin Ritt

Technische Universität München

H-index: 2

Europe-Germany

About Konstantin Ritt

Konstantin Ritt, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of robotics, integrated (interdisciplinary) research, embedded ethics and social science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Toward best practices in embedded ethics: Suggestions for interdisciplinary technology development

Embedding Ethics and Social Science Into Telemedicine Research, Development, and Implementation

An embedded ethics approach for AI development

Learning Vision-based Reactive Policies for Obstacle Avoidance

Konstantin Ritt Information

University	Technische Universität München
Position	Research Assistant Chair of Robotics and System Intelligence
Citations(all)	98
Citations(since 2020)	98
Cited By	10
hIndex(all)	2
hIndex(since 2020)	2
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	Technische Universität München
Google Scholar	View Google Scholar Profile

Konstantin Ritt Skills & Research Interests

robotics

integrated (interdisciplinary) research

embedded ethics and social science

Top articles of Konstantin Ritt

Title	Journal	Author(s)	Publication Date
Toward best practices in embedded ethics: Suggestions for interdisciplinary technology development	Robotics and Autonomous Systems	Daniel W Tigard Maximilian Braun Svenja Breuer Konstantin Ritt Amelia Fiske ...	2023/9/1
Embedding Ethics and Social Science Into Telemedicine Research, Development, and Implementation		SVENJA BREUER MAXIMILIAN BRAUN KONSTANTIN RITT DANIEL TIGARD	2021
An embedded ethics approach for AI development	Nature Machine Intelligence	Stuart McLennan Amelia Fiske Leo Anthony Celi Ruth Müller Jan Harder ...	2020/9
Learning Vision-based Reactive Policies for Obstacle Avoidance	Conference on Robot Learning (CoRL)	Elie Aljalbout Ji Chen Konstantin Ritt Maximilian Ulmer Sami Haddadin	2020/10/30