Jairo Inga
Papers
4
Total Citations
21
H-Index
3
About
Jairo Inga is a researcher focused on the frontiers of human-robot interaction and multi-robot coordination, with a particular emphasis on mixed-initiative systems and negotiation-based control. His most significant contribution is the development of a negotiation-theoretic framework for control authority transfer in mixed-initiative robotic systems, which enables a robot's AI and a remote human operator to cooperatively and dynamically decide who should control the robot at any given moment. This work, published in 2022, has garnered 9 citations and addresses a critical challenge in teleoperation and shared autonomy. Inga also advances the coordination of heterogeneous robotic teams, introducing a reoptimization framework for interactive planning and addressing multi-robot task allocation with cooperative tasks and precedence constraints. His research bridges the gap between automated planning algorithms and real-world human oversight, making complex multi-robot systems more practical and adaptable. With a growing citation record, Inga's work is shaping how humans and robots collaborate in dynamic, high-stakes environments, offering foundational insights for students and researchers in robotics, control systems, and human factors engineering.
Research Focus
Key Achievements
Top Papers
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