539 citations · 2k across the 41 of their papers we have counts for
45 papers
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…
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…
Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation
Niklas Funk, Erik Helmut, Georgia Chalvatzaki +2
Optical tactile sensors have recently become popular. They provide high spatial resolution, but struggle to offer fine temporal resolutions. To overcome this shortcoming, we study…
In-Hand Object Rotation via Rapid Motor Adaptation
Haozhi Qi, Ashish Kumar, Roberto Calandra +2
Generalized in-hand manipulation has long been an unsolved challenge of robotics. As a small step towards this grand goal, we demonstrate how to design and learn a simple adaptive…
Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Justin Kerr, Huang Huang, Albert Wilcox +4
Humans make extensive use of vision and touch as complementary senses, with vision providing global information about the scene and touch measuring local information during manipul…