activity
20242026
most citedTactile DreamFusion: Exploiting Tactile Sensing for 3D Generation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.GR2026

Text-based Tactile Graphics Generation for the Visually Impaired

Ruihan Gao, Joonghyuk Shin, Ava Pun +3

Tactile graphics are a primary medium for blind and low-vision (BLV) individuals to access non-textual information. However, they are difficult to scale or personalize. While recen…

cs.RO2026

Requirement-Driven Design of Whole-Body Social Tactile Sensing via Virtual Human-Robot Interaction

Dakarai Crowder, Ruohan Zhang, Alexis E. Block +1

Tactile sensing for social-physical human-robot interaction (spHRI) is designed in a hardware-driven manner, where predefined sensor configurations constrain coverage, spatial reso…

cs.RO2026

FruitTouch: A Perceptive Gripper for Gentle and Scalable Fruit Harvesting

Ruohan Zhang, Mohammad Amin Mirzaee, Wenzhen Yuan

The automation of fruit harvesting has gained increasing significance in response to rising labor shortages. A sensorized gripper is a key component of this process, which must be…

cs.HC2025

Uncovering EEG Patterns Consistently Associated with Cybersickness Discomfort Using Deep Learning Interpretability Maps

Jacqueline Yau, Katherine J. Mimnaugh, Pawel Augustynowicz +9

Uncomfortable sensations similar to motion sickness, called cybersickness, can develop when using Virtual Reality (VR) head-mounted displays. Cybersickness poses a hindrance to gre…

cs.RO2025

Tactile-Based Human Intent Recognition for Robot Assistive Navigation

Shaoting Peng, Dakarai Crowder, Wenzhen Yuan +1

Robot assistive navigation (RAN) is critical for enhancing the mobility and independence of the growing population of mobility-impaired individuals. However, existing systems often…

cs.RO2025

PneuGelSight: Soft Robotic Vision-Based Proprioception and Tactile Sensing

Ruohan Zhang, Uksang Yoo, Yichen Li +2

Soft pneumatic robot manipulators are popular in industrial and human-interactive applications due to their compliance and flexibility. However, deploying them in real-world scenar…

cs.CV2024★ 1 cited

Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation

Ruihan Gao, Kangle Deng, Gengshan Yang +2

3D generation methods have shown visually compelling results powered by diffusion image priors. However, they often fail to produce realistic geometric details, resulting in overly…