Continuous role adaptation for human-robot shared control
                        
                        
                            - Submitting institution
 
                            - 
                                University of Sussex
                                
 
                            
 
                            - Unit of assessment
 
                            - 12 - Engineering
 
                            - Output identifier
 
                            - 421198_72080
 
                            - Type
 
                            - D - Journal article
 
                                - DOI
 
                                - 
                                        10.1109/TRO.2015.2419873
                                
 
                                - Title of journal
 
                                - IEEE Transactions on Robotics
 
                                - Article number
 
                                - -
 
                                - First page
 
                                - 672
 
                                - Volume
 
                                - 31
 
                                - Issue
 
                                - 3
 
                                - ISSN
 
                                - 1552-3098
 
                                - Open access status
 
                                - Out of scope for open access requirements
 
                            - Month of publication
 
                            - April
 
                            - Year of publication
 
                            - 2015
 
                            - URL
 
                            - 
                                    
                                        https://doi.org/10.1109/TRO.2015.2419873
                                    
                            
 
                            - Supplementary information
 
                            - 
-                            
 
                            - Request cross-referral to
 
                            - -
 
                            - Output has been delayed by COVID-19
 
                            - No
 
                            - COVID-19 affected output statement
 
                            - -
 
                            - Forensic science
 
                            - No
 
                            - Criminology
 
                            - No
 
                            - Interdisciplinary
 
                            - No
 
                            - Number of additional authors
 
                            - 
                                5
                            
 
                            - Research group(s)
 
                            - 
-                            
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - This was the first paper that used game theory to design a robotic controller for human-robot coordination, reported by Singapore A*STAR Research Highlights and ScienceDaily. This paper was the basis of an EPSRC New Investigator Award, investigating robotic rehabilitation with two industrial partners Artecares (Dr Asif HUSSAIN, ahussain@articares.com) and Gripable (Dr Michael Mace, mike@gripable.co).
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -