Hello! I am Phillip Grote, a Research Scientist at DFKI GmbH Robotics Innovation Center (Bremen, Germany).

I completed my master’s degree in Computer Science in 2023 at the Technical University of Berlin. My master thesis ‘Neural Scene Representation Networks For Robotic Manipulation’ was under the supervision of Marc Toussaint in the research group Learning and Intelligent Systems. The topic of my bachelor thesis was ‘Lock-based Data Structures on GPUs with Independent Thread Scheduling’, which was supervised by Volker Markl in the research group DIMA.

As an undergraduate student, I worked on different projects in research (DFKI, Fraunhofer HHI) as well as industry (Bosch).

Email: phigro161 (at) gmail (dot) com

Preprints

• Neural Field Representations of Articulated Objects for Robotic Manipulation Planning
  Phillip Grote, Joaquim Ortiz-Haro, Marc Toussaint, and Ozgur S. Oguz. Under review, 2024.

• MJ-NFR: Neural Field Representations for State Estimation of Multi-Joint Objects
  Phillip Grote, Ajish Babu, Frank Kirchner. Under review, 2024.

Student Supervision

• Learning the State Transition Function of a Hydraulic Excavator using Data Driven Deep Learning
  Jayanth Somashekaraiah. Master Thesis Control, Microsystems and Microelectronics (University Bremen), 2024.

• Robot State Estimation Using Synthetic RGB Images
  Naren Vasantakumaar. Master Thesis Control, Microsystems and Microelectronics (University Bremen), 2024.