Papers
10
Total Citations
43
H-Index
4
About
Floris Erich is a robotics researcher whose work spans socially assistive robotics, robot programming, and the manipulation of transparent and deformable objects. His early contributions include a systematic literature review on humanoid robots in socially assistive contexts (10 citations) and the development of a visual environment for reactive robot programming of macro-level behaviors. Erich has made significant strides in perception and manipulation, notably proposing a technique for depth completion of transparent objects using augmented unpaired data and cyclic adversarial learning (8 citations). He also developed an open-source physical integration testing framework for robotic manipulators (6 citations), enabling automated testing for collaborative robots in industrial settings. More recently, Erich has focused on learning-based approaches, including bimanual manipulation via action chunking with Transformers and visual imitation learning for non-prehensile tasks. His work on NeuralLabeling (2 citations) provides a versatile toolset for annotating 3D vision datasets using Neural Radiance Fields, while his pipeline for transparency estimation of glass and plastic bottles (1 citation) addresses the sim2real gap. Through these contributions, Erich demonstrates a commitment to advancing robot autonomy in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
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- 8Scanning and Affordance Segmentation of Glass and Plastic Bottles2 citations · 2024
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