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cs.RO2026
Temporal Visuo-Tactile Learning for Dexterous Grasp Stability
Ken Nakahara, Aleksei Buvailik, Prokhor Kotov +1
Humans can grasp everyday objects with almost perfect success rates using fingertip tactile feedback, yet much of the robotic grasping literature emphasizes vision-based grasp sele…
cs.RO2025
Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
Tobias Jülg, Pierre Krack, Seongjin Bien +7
Vision-Language-Action models (VLAs) mark a major shift in robot learning. They replace specialized architectures and task-tailored components of expert policies with large-scale d…
cs.RO2025
Learning Gentle Grasping Using Vision, Sound, and Touch
Ken Nakahara, Roberto Calandra
In our daily life, we often encounter objects that are fragile and can be damaged by excessive grasping force, such as fruits. For these objects, it is paramount to grasp gently --…