activity
20172026
most citedMultimodal Sensing and Interaction for a Robotic Hand Orthosis

62 citations · 280 across the 51 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.RO2025

SpikeATac: A Multimodal Tactile Finger with Taxelized Dynamic Sensing for Dexterous Manipulation

Eric T. Chang, Peter Ballentine, Zhanpeng He +8

In this work, we introduce SpikeATac, a multimodal tactile finger combining a taxelized and highly sensitive dynamic response (PVDF) with a static transduction method (capacitive)…

cs.RO2025

MiniBEE: A New Form Factor for Compact Bimanual Dexterity

Sharfin Islam, Zewen Chen, Zhanpeng He +8

Bimanual robot manipulators can achieve impressive dexterity, but typically rely on two full six- or seven- degree-of-freedom arms so that paired grippers can coordinate effectivel…

cs.RO2025★ 21 cited

A roadmap for AI in robotics

Aude Billard, Alin Albu-Schaeffer, Michael Beetz +8

AI technologies, including deep learning, large-language models have gone from one breakthrough to the other. As a result, we are witnessing growing excitement in robotics at the p…

cs.RO2025

ReactEMG: Stable, Low-Latency Intent Detection from sEMG via Masked Modeling

Runsheng Wang, Xinyue Zhu, Ava Chen +5

Surface electromyography (sEMG) signals show promise for effective human-machine interfaces, particularly in rehabilitation and prosthetics. However, challenges remain in developin…

cs.RO2025

Train Robots in a JIF: Joint Inverse and Forward Dynamics with Human and Robot Demonstrations

Gagan Khandate, Boxuan Wang, Sarah Park +7

Pre-training on large datasets of robot demonstrations is a powerful technique for learning diverse manipulation skills but is often limited by the high cost and complexity of coll…

cs.RO2025

VibeCheck: Using Active Acoustic Tactile Sensing for Contact-Rich Manipulation

Kaidi Zhang, Do-Gon Kim, Eric T. Chang +6

The acoustic response of an object can reveal a lot about its global state, for example its material properties or the extrinsic contacts it is making with the world. In this work,…

cs.LG2025

Uncertainty Comes for Free: Human-in-the-Loop Policies with Diffusion Models

Zhanpeng He, Yifeng Cao, Matei Ciocarlie

Human-in-the-loop (HitL) robot deployment has gained significant attention in both academia and industry as a semi-autonomous paradigm that enables human operators to intervene and…