Methods for robot behavior adaptation for cognitive neurorehabilitation

A Kubota, LD Riek - Annual review of control, robotics, and …, 2022 - annualreviews.org
An estimated 11% of adults report experiencing some form of cognitive decline, which may
be associated with conditions such as stroke or dementia and can impact their memory …

Potential capability estimation for real time electricity demand response of sustainable manufacturing systems using Markov Decision Process

Z Sun, L Li - Journal of Cleaner Production, 2014 - Elsevier
Electricity demand response has been considered as a critical methodology to realize the
strategy of sustainable development for manufacturing enterprises by effectively reducing …

A probabilistic approach to workspace sharing for human–robot cooperation in assembly tasks

S Pellegrinelli, FL Moro, N Pedrocchi, LM Tosatti… - CIRP Annals, 2016 - Elsevier
Recently, human–robot cooperation (HRC) research activities have focused on the
development of new methodologies for the generation of safe robot trajectories. However …

Human-robot shared workspace collaboration via hindsight optimization

S Pellegrinelli, H Admoni, S Javdani… - 2016 IEEE/RSJ …, 2016 - ieeexplore.ieee.org
Our human-robot collaboration research aims to improve the fluency and efficiency of
interactions between humans and robots when executing a set of tasks in a shared …

Human intent prediction using markov decision processes

CLR McGhan, A Nasir, EM Atkins - Journal of Aerospace Information …, 2015 - arc.aiaa.org
This paper describes a modeling method for predicting a human's task-level intent through
the use of Markov Decision Processes. Intent prediction can be used by a robot to improve …

Error-related potential-based shared autonomy via deep recurrent reinforcement learning

X Wang, HT Chen, CT Lin - Journal of Neural Engineering, 2022 - iopscience.iop.org
Objective. Error-related potential (ErrP)-based brain–computer interfaces (BCIs) have
received a considerable amount of attention in the human–robot interaction community. In …

A software tool for human-robot shared-workspace collaboration with task precedence constraints

TB Pulikottil, S Pellegrinelli, N Pedrocchi - Robotics and Computer …, 2021 - Elsevier
A key challenge in human-robot shared workspace is defining the decision criterion to select
the next task for a fluent, efficient and safe collaboration. While working with robots in an …

A decision-theoretic approach for the collaborative control of a smart wheelchair

M Ghorbel, J Pineau, R Gourdeau, S Javdani… - International Journal of …, 2018 - Springer
While assistive robot technology is quickly progressing, several challenges remain to make
this technology truly usable and useful for humans. One of the aspects that is particularly …

Adaptive artificial companions learning from users' feedback

AB Karami, K Sehaba, B Encelle - Adaptive behavior, 2016 - journals.sagepub.com
Until recently, propositions on the subject of intelligent service companions, like robots, were
mostly user and environment independent. Our work is part of the FUI-RoboPopuli project …

Learning accuracy and availability of humans who help mobile robots

S Rosenthal, M Veloso, A Dey - … of the AAAI Conference on Artificial …, 2011 - ojs.aaai.org
When mobile robots perform tasks in environments with humans, it seems appropriate for
the robots to rely on such humans for help instead of dedicated human oracles or …