Ergun Calisgan

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About

Ergun Calisgan is a roboticist whose work bridges the gap between autonomous navigation, human-robot interaction, and machine learning for manipulation. His research focuses on enabling robots to operate seamlessly in human environments, with a particular emphasis on multi-floor locomotion and intuitive human-robot collaboration. Calisgan’s most notable contribution is the development of “Charlie,” a semi-humanoid robot capable of autonomously riding elevators to navigate between floors—a pioneering achievement in integrated vision, navigation, and manipulation that has garnered 36 citations. This work addresses a critical challenge in service robotics: moving beyond single-floor operation. He has also made significant strides in human-robot turn-taking, identifying nonverbal cues to automate collaborative workflows, a study cited 27 times that moves beyond traditional button-based control. Additionally, Calisgan has explored on-line dynamic model learning for manipulator control, enhancing robotic adaptability, and contributed to the Open Roboethics initiative, engaging with the ethical implications of autonomous systems like the elevator-riding robot. With a total of 74 citations across his top works, Calisgan’s research demonstrates a commitment to both technical innovation and responsible robotics, making him a key figure in the advancement of autonomous, socially-aware machines.