1 citations · 1 across the 10 of their papers we have counts for
10 papers
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…
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…
Investigating Active Sampling for Hardness Classification with Vision-Based Tactile Sensors
Junyi Chen, Alap Kshirsagar, Frederik Heller +7
One of the most important object properties that humans and robots perceive through touch is hardness. This paper investigates information-theoretic active sampling strategies for…
Towards Safe Robot Foundation Models Using Inductive Biases
Maximilian Tölle, Theo Gruner, Daniel Palenicek +6
Safety is a critical requirement for the real-world deployment of robotic systems. Unfortunately, while current robot foundation models show promising generalization capabilities a…
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…
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…
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…
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…
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.…
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…