Human-Machine Interaction with Soft Growing Robots
by Fabio Stroppa
Kadir Has University, Department of Computer Engineering
DATE: Nov 29th, Tuesday
Artificial intelligence and robots are becoming more autonomous every day; yet, they still rely on human intervention to accomplish certain tasks. Other times, the nature of the task itself requires robots and humans to work together. Therefore, semi-autonomous telerobotic systems allow both humans and robots to exploit their strengths, while enabling personalized execution of a remote task. However, for soft robots with kinematic structures dissimilar to those of human operators, it is unknown how the control over task execution should be allocated between the human and robot. In this talk, I will present some of the late research on interaction with soft growing robots, focusing on full teleoperated interfaces that allow for easy for matching of the human and soft robot kinematics, a wide study on interaction paradigms between humans and soft robots, and finally how to optimize the fabrication of soft robots for specific tasks.
Fabio Stroppa (Eng., Ph.D.) is a researcher in Artificial Intelligence and Human-Machine Interaction. He received the B.S. and M.S. degrees in Computer Science Engineering from Polytechnic University of Bari, Bari, Italy, in 2011 and 2013, respectively, and the Ph.D. in Perceptual Robotics from Scuola Superiore Sant’Anna, Pisa, Italy in 2018. He received postdoc training at CHARM Lab, Stanford University, California, USA from 2019 to 2021. He is currently an Assistant Professor in the Department of Computer Engineering at Kadir Has University, Turkey, where he is also head of EVO Lab. His publications and main research interests deal with computer vision for control purposes of robotic devices, robotic-based neurorehabilitation, bioinformatics, virtual reality, search and optimization methods, and artificial intelligence.