On human-in-the-loop optimization of human–robot interaction
From industrial exoskeletons to implantable medical devices, robots that interact closely with
people are poised to improve every aspect of our lives. Yet designing these systems is very …
people are poised to improve every aspect of our lives. Yet designing these systems is very …
Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement
Most wearable robots such as exoskeletons and prostheses can operate with dexterity,
while wearers do not perceive them as part of their bodies. In this perspective, we contend …
while wearers do not perceive them as part of their bodies. In this perspective, we contend …
Core: Cooperative reconstruction for multi-agent perception
This paper presents CORE, a conceptually simple, effective and communication-efficient
model for multi-agent cooperative perception. It addresses the task from a novel perspective …
model for multi-agent cooperative perception. It addresses the task from a novel perspective …
Deep metric learning with locality sensitive mining for self-correcting source separation of neural spiking signals
Automated source separation algorithms have become a central tool in neuroengineering
and neuroscience, where they are used to decompose neurophysiological signal into its …
and neuroscience, where they are used to decompose neurophysiological signal into its …
Multi-modal interaction with transformers: bridging robots and human with natural language
The language-guided visual robotic grasping task focuses on enabling robots to grasp
objects based on human language instructions. However, real-world human-robot …
objects based on human language instructions. However, real-world human-robot …
Graph representation learning and optimization for spherical emission source microscopy system
Emission source microscopy (ESM) technique can be utilized for the localization of
electromagnetic interference (EMI) sources in electronic systems, its performance greatly …
electromagnetic interference (EMI) sources in electronic systems, its performance greatly …
Equilibrium-point control and robustness analysis of bioinspired musculoskeletal robotic system
Compared to general joint-link robotic systems, bioinspired musculoskeletal robotic systems
provide more potential advantages in terms of robustness, flexibility, and operation …
provide more potential advantages in terms of robustness, flexibility, and operation …
FuzzyTrack: User Adaptive Cervical Spine Motion Prediction with Earable Inertial Sensing
The widespread use of electronic devices has contributed to an increase in poor posture,
particularly when it comes to the cervical spine, leading to various cervical vertebral pain …
particularly when it comes to the cervical spine, leading to various cervical vertebral pain …
Mirror adaptive impedance control of multi-mode soft exoskeleton with reinforcement learning
J Xu, K Huang, T Zhang, M Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Soft exoskeleton robots (exosuits) have exhibited promising potentials in walking assistance
with comfortable wearing experience. In this paper, a twisted string actuator (TSA) is …
with comfortable wearing experience. In this paper, a twisted string actuator (TSA) is …
Fuzzy Dynamic Event-Triggered Containment Control for Human-in-The-Loop MASs With Error Constraints
G Lin, H Ren, Q Zhou, X Wang - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
In this article, the fuzzy dynamic event-triggered (DET) containment control problem for
human-in-the-loop (HiTL) multiagent systems (MASs) with error constraints is investigated …
human-in-the-loop (HiTL) multiagent systems (MASs) with error constraints is investigated …