activity
20242026
most citedIntegrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation

1 citations · 1 across the 11 of their papers we have counts for

collaborators

11 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

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.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…

cs.RO2025

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.RO2025

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.CV2024

Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models

Christian Möller, Niklas Funk, Jan Peters

Object pose estimation from a single view remains a challenging problem. In particular, partial observability, occlusions, and object symmetries eventually result in pose ambiguity…

cs.RO2024

TacEx: GelSight Tactile Simulation in Isaac Sim -- Combining Soft-Body and Visuotactile Simulators

Duc Huy Nguyen, Tim Schneider, Guillaume Duret +3

Training robot policies in simulation is becoming increasingly popular; nevertheless, a precise, reliable, and easy-to-use tactile simulator for contact-rich manipulation tasks is…

cs.RO2024

Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks

Janis Lenz, Theo Gruner, Daniel Palenicek +2

Robotic insertion tasks remain challenging due to uncertainties in perception and the need for precise control, particularly in unstructured environments. While humans seamlessly c…

cs.RO2024

Learning Tactile Insertion in the Real World

Daniel Palenicek, Theo Gruner, Tim Schneider +5

Humans have exceptional tactile sensing capabilities, which they can leverage to solve challenging, partially observable tasks that cannot be solved from visual observation alone.…

cs.RO2024★ 1 cited

Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation

Noah Becker, Kyrylo Sovailo, Chunyao Zhu +6

Telerobotics enables humans to overcome spatial constraints and physically interact with the environment in remote locations. However, the sensory feedback provided by the system t…