Tim Schneider
Scholar

Tim Schneider

Google Scholar ID: NuVLefsAAAAJ
PhD Student, Technical University Darmstadt
Model-Based Reinforcement LearningRobot LearningIntrinsic Motivation
Citations & Impact
All-time
Citations
125
 
H-index
5
 
i10-index
5
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • 1. Funk, N.; Chen, C.; Schneider, T.; Chalvatzaki, G.; Calandra, R.; Peters, J. (2025). On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting, ICRA 2025 Workshop on “Towards Human Level Intelligence Vision and Tactile Sensing”.
  • 2. Toelle, M.; Gruner, T.; Palenicek, D.; Schneider, T. Guenster, J.; Watson, J.; Tateo, D.; Liu, P.; Peters, J. (2025). Towards Safe Robot Foundation Models using Inductive Biases, SafeVLM Workshop @ IEEE International Conference on Robotics and Automation (ICRA), Spotlight.
Research Experience
  • During his Ph.D., Tim continues researching at the intersection between active perception, tactile sensing, and robotic manipulation. He envisions that, similar to children, robots should be able to explore their environment haptically and develop an understanding of it by physical interaction.
Education
  • Joined the Intelligent Autonomous Systems lab as a Ph.D. student on November 1st, 2021, pursuing a binational Ph.D. in cooperation with Prof. Liming Chen from École Centrale Lyon. Prior to this, he completed his master's degree in Computer Science at Technische Universität Darmstadt, where he wrote his thesis titled 'Active Inference for Robotic Manipulation' under the supervision of Boris Belousov and Hany Abdulsamad.
Background
  • Research Interests: Robotics, Reinforcement Learning, Manipulation, Intrinsic Motivation, Machine Learning. Affiliated with TU Darmstadt's Intelligent Autonomous Systems and LIRIS at Ecole Centrale de Lyon.
Co-authors
0 total
Co-authors: 0 (list not available)