activity
20242026
collaborators

9 papers

cs.RO2026

Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning

Shilin Shan, Chuhao Zhou, Ruize Wang +30

Physically grounded robot intelligence requires robots to perceive, reason about, and regulate their interactions with the physical world. This capability is particularly critical…

cs.RO2026

Apple: Toward General Active Perception via Reinforcement Learning

Tim Schneider, Cristiana de Farias, Roberto Calandra +2

Active perception is a fundamental skill that enables us humans to deal with uncertainty in our inherently partially observable environment. For senses such as touch, where the inf…

cs.RO2026

Neuromorphic BrailleNet: Accurate and Generalizable Braille Reading Beyond Single Characters through Event-Based Optical Tactile Sensing

Naqash Afzal, Niklas Funk, Erik Helmut +2

Conventional robotic Braille readers typically rely on discrete, character-by-character scanning, limiting reading speed and disrupting natural flow. Vision-based alternatives ofte…

cs.RO2026

On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting

Niklas Funk, Changqi Chen, Tim Schneider +3

The field of robotic manipulation has advanced significantly in recent years. At the sensing level, several novel tactile sensors have been developed, capable of providing accurate…

cs.RO2025

Tactile-Conditioned Diffusion Policy for Force-Aware Robotic Manipulation

Erik Helmut, Niklas Funk, Tim Schneider +2

Contact-rich manipulation depends on applying the correct grasp forces throughout the manipulation task, especially when handling fragile or deformable objects. Most existing imita…

cs.RO2025

Tactile MNIST: Benchmarking Active Tactile Perception

Tim Schneider, Guillaume Duret, Cristiana de Farias +3

Tactile perception has the potential to significantly enhance dexterous robotic manipulation by providing rich local information that can complement or substitute for other sensory…