activity
20242026
most citedHuman Impedance Modulation to Improve Visuo-Haptic Perception

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Safety-Critical Adaptive Impedance Control via Nonsmooth Control Barrier Functions under State and Input Constraints

Faisal Lawan, Xiaoran Han, Joaquin Carrasco +2

Safe physical interaction is critical for deploying robotic manipulators in human-robot interaction and contact-rich tasks, where uncertainty, external forces, and actuator limitat…

cs.RO2025

Embodied Tactile Perception of Soft Objects Properties

Anirvan Dutta, Alexis WM Devillard, Zhihuan Zhang +2

To enable robots to develop human-like fine manipulation, it is essential to understand how mechanical compliance, multi-modal sensing, and purposeful interaction jointly shape tac…

cs.RO2024

Interacting humans and robots can improve sensory prediction by adapting their viscoelasticity

Xiaoxiao Cheng, Jonathan Eden, Bastien Berret +2

To manipulate objects or dance together, humans and robots exchange energy and haptic information. While the exchange of energy in human-robot interaction has been extensively inve…

cs.HC2024★ 1 cited

Human Impedance Modulation to Improve Visuo-Haptic Perception

Xiaoxiao Cheng, Shixian Shen, Ekaterina Ivanova +3

Humans activate muscles to shape the mechanical interaction with their environment, but can they harness this control mechanism to best sense the environment? We investigated how p…

cs.RO2024

Haptic feedback of front car motion can improve driving control

Xiaoxiao Cheng, Xianzhe Geng, Yanpei Huang +1

This study investigates the role of haptic feedback in a car-following scenario, where information about the motion of the front vehicle is provided through a virtual elastic conne…