6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.RO2019★ 6 cited
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching
Justin Lin, Roberto Calandra, Sergey Levine
Much of the literature on robotic perception focuses on the visual modality. Vision provides a global observation of a scene, making it broadly useful. However, in the domain of ro…
cs.RO2018
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
Roberto Calandra, Andrew Owens, Dinesh Jayaraman +5
For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus can…