4 citations · 4 across the 1 of their papers we have counts for
3 papers · 1 filter
VICTR: Value-Informed In-Context Learning for Vision-Language-Action Models
Luca Macesanu, Tianluo Zhang, Aditya Patil +5
Recent advances in robot foundation models have highlighted the potential of in-context learning (ICL) for adapting robot behavior from demonstrations without further fine-tuning.…
Embodied at Sea: Imitation Learning for Multi-Task Underwater Manipulation
Greta Perez-Haiek, Luca Macesanu, Kevin Angers +3
Behavior Cloning has demonstrated promising generalization capabilities for robotic manipulation in terrestrial environments. However, marine visual distortions and dynamic current…
RoboCulture: A Robotics Platform for Automated Biological Experimentation
Kevin Angers, Kourosh Darvish, Naruki Yoshikawa +6
Automating biological experimentation remains challenging due to the need for millimeter-scale precision, long and multi-step experiments, and the dynamic nature of living systems.…