Mixed-Initiative Control is a supervisory control framework in which authority and decision-making responsibilities dynamically alternate between human operators and autonomous systems, distinguishing it from fully autonomous or manually controlled systems by enabling proactive, context-driven collaboration.
92
Publications
4K
Citations
294
Authors
101
Institutions
Publications per year
2017–2026
21
Publications
92
1–5 of 92
Authors
294
- DJ
6
h-index
- JL
6
h-index
- DA
5
h-index
- MB
3
h-index
- MW
3
h-index
1–5 of 294
Institutions
101
Idaho National Laboratory
Idaho Falls, United States
6 h-index
25 publications
1.5K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
9 publications
306 citations
Brigham Young University
Provo, United States
4 h-index
5 publications
338 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
5 publications
124 citations
Honeywell (United States)
Charlotte, United States
3 h-index
5 publications
261 citations
Charles River Analytics (United States)
Cambridge, United States
2 h-index
5 publications
122 citations
Amazon (United States)
Seattle, United States
2 h-index
2 publications
93 citations
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
2 publications
265 citations
1–8 of 101
Venues
- Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
2 publications · 161 citations
2
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- IEEE Transactions on Robotics
2 publications · 115 citations
2
h-index
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting
1 publications · 30 citations
1
h-index
- Mechatronics
1 publications · 18 citations
1
h-index
- IEEE Transactions on Computational Intelligence and AI in Games
1 publications · 158 citations
1
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1–5