Nicholas Alunni
Papers
6
Total Citations
77
H-Index
5
About
Nicholas Alunni is a leading researcher in human-robot interaction and teleoperation, with a focus on enabling complex manipulation tasks for high degree-of-freedom (DOF) robots under challenging, real-world conditions. His major contributions center on developing user-guided frameworks that bridge the gap between full autonomy and direct teleoperation, particularly when communication is unreliable or limited. Alunni’s work on cooperative traded control—where control of a robot is dynamically shared between human operators and autonomous systems—has been foundational for humanoid robots performing dexterous tasks in remote or hazardous environments. His most-cited paper, "Toward a user-guided manipulation framework for high-DOF robots with limited communication" (2013, 26 citations), along with subsequent refinements (19 and 17 citations), has shaped how researchers approach supervisory control. Alunni’s insights were also critical to the DARPA Robotics Challenge, where his frameworks were tested in high-stakes disaster response scenarios. His early work on hierarchical swarm robotics (2011) further demonstrates his versatility, exploring distributed physical intelligence. With over 77 total citations, Alunni’s research continues to influence the design of resilient, human-robot teams for exploration, search-and-rescue, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Hierarchical Swarm Robotics4 citations · 2011