activity
20172023
most citedMore Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

374 citations · 536 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 22 cited

DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding

Shuijing Liu, Aamir Hasan, Kaiwen Hong +7

Persons with visual impairments (PwVI) have difficulties understanding and navigating spaces around them. Current wayfinding technologies either focus solely on navigation or provi…

cs.RO2023

Designing a Wayfinding Robot for People with Visual Impairments

Shuijing Liu, Aamir Hasan, Kaiwen Hong +6

People with visual impairments (PwVI) often have difficulties navigating through unfamiliar indoor environments. However, current wayfinding tools are fairly limited. In this short…

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★ 374 cited

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…

cs.RO2017★ 134 cited

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…