Bennie Lewis

Papers

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About

Bennie Lewis is a pioneering researcher in human-robot interaction, with a focus on multi-robot manipulation and adjustable autonomy. His work addresses the critical challenge of enabling effective collaboration between humans and teams of robots in complex, high-stakes environments like search and rescue operations. Lewis’s major contribution is the development of an adjustable autonomy paradigm that dynamically adapts robot control based on operator expertise, bridging the gap between expert and novice users. This framework, detailed in his most-cited paper (11 citations), reduces cognitive load by allowing robots to take on more autonomy when operators are distracted or less skilled. His 2010 study on inferring operator distraction (5 citations) further advanced teleoperation interfaces, improving task efficiency in urban disaster scenarios. Lewis also explored configurable human-robot interaction for tightly coupled manipulation tasks, demonstrating how human-agent-robot teams can overcome the limitations of fully autonomous systems. With a career spanning foundational work from 1958 onward, his research has shaped modern approaches to shared control, making multi-robot systems more accessible and reliable for real-world applications.