Andy Carle

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About

Andy Carle’s research sits at the intersection of human-robot interaction and accessible robotics, with a focus on enabling non-expert users to intuitively control and program autonomous systems. His most cited work, “Hand-Drawn Maps for Robot Navigation” (2002, 22 citations), introduced a groundbreaking interface where novice users—domain experts in their tasks but not in robotics—could guide robots by simply sketching maps. This approach lowered the barrier to robot programming, allowing users to specify navigation goals and paths through natural, hand-drawn input rather than complex code or technical commands. Carle’s contribution was pivotal in demonstrating that effective human-robot collaboration does not require robotics expertise, paving the way for more user-friendly interfaces in field robotics and assistive technologies. His work has influenced subsequent research in intuitive robot control, particularly in scenarios where rapid, on-the-fly task specification is critical. By prioritizing the user’s domain knowledge over technical proficiency, Carle helped shift the paradigm toward more inclusive, human-centered robotics design—a legacy that continues to inspire researchers developing accessible tools for real-world robot deployment.