most citedEffective Explanations for Belief-Desire-Intention Robots: When and What to Explain

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

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.RO2026

Norm2Tex: Augmenting Visuo-Tactile Simulations with Texture

Seongjin Bien, Débora Oliveira Makowski, Roberto Calandra +2

Large-scale datasets are essential for training generalist robot control policies. Collecting real-world tactile data is costly and time-consuming, motivating the use of tactile si…

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★ 1 cited

Effective Explanations for Belief-Desire-Intention Robots: When and What to Explain

Cong Wang, Roberto Calandra, Verena Klös

When robots perform complex and context-dependent tasks in our daily lives, deviations from expectations can confuse users. Explanations of the robot's reasoning process can help u…

cs.RO2025

Learning Dexterous Object Handover

Daniel Frau-Alfaro, Julio Castaño-Amoros, Santiago Puente +2

Object handover is an important skill that we use daily when interacting with other humans. To deploy robots in collaborative setting, like houses, being able to receive and handin…

cs.RO2025★ 1 cited

Learning to Play Piano in the Real World

Yves-Simon Zeulner, Simon Crämer, Sandeep Selvaraj +1

Towards the grand challenge of achieving human-level manipulation in robots, playing piano is a compelling testbed that requires strategic, precise, and flowing movements. Over the…

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 --…