alecive-logo
research
Alessandro Roncone

The central motivating theme of my research is to develop robot technologies that enable close, natural, and extended cooperation with humans. I envision mixed human-robot ecologies where complex control commands can be instructed through natural language, and robots are able to anticipate people’s needs, provide the best support to them, and even influence their intents and behaviors. My work focuses on the design of human-aware robot control systems that allow robots to embrace the interaction with the human and the external world by design. This will allow for humans and robots to accomplish together what neither of them can do alone.

My research bridges the gap between robot control, human-robot interaction, and artificial intelligence. Over the years, I have worked on i) exploring the breadths of how tactile systems can improve perception in the nearby space, ii) implementing state of the art control systems for humanoid robots, and iii) investigating how non-verbal and contextual communication can advance human-robot interaction and intelligent manufacturing.

The following is a non comprehensive list of both my published articles (i.e. projects that ended up in a conference proceeding or journal issue), and work that will not be published at all—such as the yarpdroid project. If you are interested in understanding more about my ongoing (unpublished) projects, please contact me (or stalk me on GitHub).

About


Personal website of Alessandro Roncone, also known as alecive, Ph.D. in robotics engineering, computer scientist, interaction designer, father and runner. He is currently working as a Postdoctoral Associate at the Social Robotics Lab, Yale University, New Haven, CT.

Alessandro has more than eight years' research experience in robotics. He worked full time with the iCub, one of the most advanced humanoid robots, on machine perception and artificial intelligence. His mastery of C++ and the YARP/ROS software architectures has been employed for research in human-robot interaction, kinematics, tactile perception and robot control.