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Rohit Menon

Ph.D. Student

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 Contact details

    Email  : menon[AT]cs[dot]uni[dash]bonn[dot]de
    Phone  : -
    Address :

Rohit Menon

Rheinische Friedrich-Willhelms-Universität Bonn
Institut für Informatik VI

Friedrich-Hirzebruch-Allee 8
53115 Bonn
Germany

About me

I am a Phd student in the Humanoid Robots Lab headed by Maren Bennewitz at the University of Bonn. I received my master's degree in Automation and Robotics from the Technical University of Dortmund in 2015

Research Interests

  • Active Perception
  • Uncertainty driven Viewpoint Planning
  • 3D Object Detection and Completion

Associated Research Projects

Brief CV

since Feb 2022

Humanoid Robots Lab, Institute for Intelligent Systems and Robotics, Bonn, Germany

Research associate & PhD student

Group of Prof. Dr. Maren Bennewitz

Nov 2019 - Jan 2022

Software Developer, Neura Robotics GmbH, Metzingen, Germany

Group of Dr. Milad Malekzadeh

July 2015-Oct 2019

Robotic Innovation Centre, German Research Centre for Artificial Intelligence (DFKI), Bremen, Germany

Researcher in Motion Planning and Grasping

Group of Prof. Dr. Frank Kirchner

June 2014- Feb 2015

Institute for Robotics and Mechatronics, German Aerospace Centre (DLR), Oberpffafenhofen, Germany

Master Thesis on Shared Autonomy for Assistive Robotics

Feb 2015 MSc in Automation and Robotics, Technical University of Dortmund, Germany
Sept 2008-Sept 2012

Siemens Ltd, Mumbai, India

Engineering of Automation and Drive Control Systems

June 2008

Bachelor's in Electrical Engineering, University of Mumbai, India

 

Publications

Generalised Image Processing Method for Quantitative Analysis of Nucleus, Cell and Focal Adhesion Clusters.
Rajasree Padmakumari Hemachandran Nair, Rohit Menon, Ralf Kemkemer
Current Directions in Biomedical Engineering, 2021

https://doi.org/10.1515/cdbme-2021-2142

Flexible semi-autonomous grasping for assistive robotics.
Jörn Vogel, Katharina Hertkorn, Rohit U Menon, Máximo A Roa
IEEE International Conference on Robotics and Automation (ICRA), 2016

https://doi.org/10.1109/ICRA.2016.7487692