Movement: how the brain communicates with the world

AB Schwartz - Cell, 2016 - cell.com
Voluntary movement is a result of signals transmitted through a communication channel that
links the internal world in our minds to the physical world around us. Intention can be …

Anyteleop: A general vision-based dexterous robot arm-hand teleoperation system

Y Qin, W Yang, B Huang, K Van Wyk, H Su… - arXiv preprint arXiv …, 2023 - arxiv.org
Vision-based teleoperation offers the possibility to endow robots with human-level
intelligence to physically interact with the environment, while only requiring low-cost camera …

Shared autonomy via hindsight optimization for teleoperation and teaming

S Javdani, H Admoni, S Pellegrinelli… - … Journal of Robotics …, 2018 - journals.sagepub.com
In shared autonomy, a user and autonomous system work together to achieve shared goals.
To collaborate effectively, the autonomous system must know the user's goal. As such, most …

Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject

G Hotson, DP McMullen, MS Fifer… - Journal of neural …, 2016 - iopscience.iop.org
Objective. We used native sensorimotor representations of fingers in a brain–machine
interface (BMI) to achieve immediate online control of individual prosthetic fingers …

Computational design of mixed-initiative human–robot teaming that considers human factors: situational awareness, workload, and workflow preferences

M Gombolay, A Bair, C Huang… - The International journal …, 2017 - journals.sagepub.com
Advancements in robotic technology are making it increasingly possible to integrate robots
into the human workspace in order to improve productivity and decrease worker strain …

Probabilistic human intent recognition for shared autonomy in assistive robotics

S Jain, B Argall - ACM Transactions on Human-Robot Interaction (THRI), 2019 - dl.acm.org
Effective human-robot collaboration in shared autonomy requires reasoning about the
intentions of the human partner. To provide meaningful assistance, the autonomy has to first …

Robot learning on the job: Human-in-the-loop autonomy and learning during deployment

H Liu, S Nasiriany, L Zhang, Z Bao… - … International Journal of …, 2022 - journals.sagepub.com
With the rapid growth of computing powers and recent advances in deep learning, we have
witnessed impressive demonstrations of novel robot capabilities in research settings …

Wearable robotics for upper-limb rehabilitation and assistance: A review of the state-of-the-art challenges and future research

RJ Varghese, D Freer, F Deligianni, J Liu… - … in medicine and …, 2018 - books.google.com
Several neuromuscular disorders and cerebrovascular diseases affect motor function with
symptoms ranging from distractive involuntary movements (eg, tremor) to inhibited …

Controlling assistive robots with learned latent actions

DP Losey, K Srinivasan, A Mandlekar… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Assistive robotic arms enable users with physical disabilities to perform everyday tasks
without relying on a caregiver. Unfortunately, the very dexterity that makes these arms useful …

Power-saving design opportunities for wireless intracortical brain–computer interfaces

N Even-Chen, DG Muratore, SD Stavisky… - Nature biomedical …, 2020 - nature.com
The efficacy of wireless intracortical brain–computer interfaces (iBCIs) is limited in part by
the number of recording channels, which is constrained by the power budget of the …