8 citations · 8 across the 3 of their papers we have counts for
5 papers
When Listening Becomes Easier: Scrubbing Visual Cues for Shortcut-Free VLAs
Jasper Gerigk, Kenzo Aspuru-Takata, Chin-Hsuan Wu +3
Shortcut learning is a prevalent issue in robot learning. The limited diversity of robot demonstration datasets can mislead policies into exploiting spurious correlations between t…
SCOPD: Sparse-Context On-Policy Self-Distillation for Efficient Vision-Language Models
Ahmadreza Jeddi, Enming Zhang, Jasper Gerigk +12
Reasoning vision-language models (VLMs) process images and videos as long sequences of visual tokens, making inference expensive. Training-free token pruning reduces this cost, but…
SeededGrasp: Language-Guided Grasping in Complex Scenes with Multiple Embodiments
Yang Xu, Gurpreet Singh Mukker, Raymond Wang +3
Practical robotic grasping in complex scenes requires both 3D spatial reasoning and alignment with task-specific requirements. Vision-language models (VLMs) offer a natural way to…
Update-Free On-Policy Steering via Verifiers
Maria Attarian, Ian Vyse, Jasper Gerigk +7
In recent years, Behavior Cloning (BC) has become one of the most prevalent methods for learning manipulation from human demonstrations. Despite their successes, BC policies are of…
An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management
Marvin Klimke, Jasper Gerigk, Benjamin Völz +1
The improvement of traffic efficiency at urban intersections receives strong research interest in the field of automated intersection management. So far, mostly non-learning algori…