374 citations · 1.2k across the 33 of their papers we have counts for
5 papers · 1 filter
Active Clothing Material Perception using Tactile Sensing and Deep Learning
Wenzhen Yuan, Yuchen Mo, Shaoxiong Wang +1
Humans represent and discriminate the objects in the same category using their properties, and an intelligent robot should be able to do the same. In this paper, we build a robot s…
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Roberto Calandra, Andrew Owens, Manu Upadhyaya +4
A successful grasp requires careful balancing of the contact forces. Deducing whether a particular grasp will be successful from indirect measurements, such as vision, is therefore…
Improved GelSight Tactile Sensor for Measuring Geometry and Slip
Siyuan Dong, Wenzhen Yuan, Edward Adelson
A GelSight sensor uses an elastomeric slab covered with a reflective membrane to measure tactile signals. It measures the 3D geometry and contact force information with high spacia…
Shape-independent Hardness Estimation Using Deep Learning and a GelSight Tactile Sensor
Wenzhen Yuan, Chenzhuo Zhu, Andrew Owens +2
Hardness is among the most important attributes of an object that humans learn about through touch. However, approaches for robots to estimate hardness are limited, due to the lack…
Connecting Look and Feel: Associating the visual and tactile properties of physical materials
Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong +1
For machines to interact with the physical world, they must understand the physical properties of objects and materials they encounter. We use fabrics as an example of a deformable…