47 citations · 142 across the 49 of their papers we have counts for
13 papers · 1 filter
GelSlim 5.0: Unifying Vision and Touch with a Single Fingertip Camera
Xiangdong Wang, I-Hsuan Huang, Xiaohao Xu +3
Vision and touch provide complementary cues for object pose and local contact geometry, but external cameras are often occluded at the contact site. We present GelSlim 5.0, a finge…
Whole-Body Dexterity
Conor Mc Gartoll, An Dang, Pranay Thangeda +5
Current humanoid dexterous manipulation remains largely confined to end-effectors and simple grasps, falling short of humans' ability to engage the entire body by bracing and slidi…
Tactile-Guided Robot Learning: From Representation Learning to Foundation Models
Kiyanoush Nazari, Luchen Li, Haoshu Fang +4
Tactile sensing is becoming central to robust, adaptive, and dexterous robotic manipulation. Beyond its traditional role in contact detection and reactive control, touch is increas…
HULK: Learning Whole-Body Forceful Loco-Manipulation for Humanoids
An Dang, Arturo Flores Alvarez, Yu-Ming Chen +5
Humanoid loco-manipulation of large, heavy objects demands forceful interaction across the entire body. However, such payloads shift a humanoid's center of mass and impose sustaine…
ReDex: Repairing Sim-to-Real Dexterous Policies by Finger-Level Compliant Interaction
Jinzhou Li, Hadi Tabatabaee, Kelin Yu +6
Dexterous manipulation policies trained in simulation often fail to transfer to the real world because of errors in contact timing and force regulation. Yet these policies can reta…
ADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning
Jayjun Lee, Jessica Yin, Asif Rana +8
We introduce Accelerating Dexterity via Pre-Training (ADEPT), a large-scale reinforcement learning (RL) framework for learning sim-to-real transferable dexterity across high degree…
Tactile Sim2Real without Tactile Simulation via Bottlenecked Latent Reconstruction
Fan Yang, Youngsun Wi, Jinhao Yu +2
Robot sensor designs, particularly tactile sensors, are highly diverse and evolve rapidly. Modeling each sensor in simulation demands substantial domain expertise and computational…
Scalable Open-Source Visuotactile Sensor for 6-Axis Contact Wrench Estimation in Tensegrity Robots
Wenzhe Tong, Jonathan Mi, Xili Yi +2
This paper presents a scalable, open-source visuotactile sensing system for tensegrity robots that enables six-axis wrench estimation and contact detection. The proposed endcap sen…
TAP-VLA: Tactile Annotation Prompting for Vision Language Action Models
Mark Van der Merwe, Mohamad Louai Shehab, Jayjun Lee +4
Vision-Language-Action (VLA) models demonstrate impressive reasoning over visual, semantic, and spatial task variations by leveraging large-scale vision and language pre-training.…
RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
Yinpei Dai, Hongze Fu, Jayjun Lee +6
Memory is critical for long-horizon and history-dependent robotic manipulation. Such tasks often involve counting repeated actions or manipulating objects that become temporarily o…
HydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning
An Dang, Jayjun Lee, Mustafa Mukadam +4
In this paper, we address the problem of tactile sim-to-real policy transfer for contact-rich tasks. Existing methods primarily focus on vision-based sensors and emphasize image re…
Sound of Touch: Active Acoustic Tactile Sensing via String Vibrations
Xili Yi, Ying Xing, Zachary Manchester +1
Distributed tactile sensing remains difficult to scale over large areas: dense sensor arrays increase wiring, cost, and fragility, while many alternatives provide limited coverage…
TactAlign: Human-to-Robot Policy Transfer via Tactile Alignment
Youngsun Wi, Jessica Yin, Elvis Xiang +5
Human demonstrations collected by wearable devices (e.g., tactile gloves) provide fast and dexterous supervision for policy learning, and are guided by rich, natural tactile feedba…