alessandro-roncone
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 the articles I published during my PhD and Post-doc (i.e. projects that ended up in a conference proceeding or journal issue), and work that was not published at all—such as the yarpdroid project. As I am now leading the Human Interaction and RObotics [HIRO] Group at CU Boulder, I am not updating this website anymore. If you are interested in getting to know more about my ongoing projects, please visit my lab’s website or contact me!

Human-Robot Collaboration


Humanoid Robotics


About


Personal website of Alessandro Roncone, also known as alecive, Ph.D. in robotics engineering, computer scientist, interaction designer, father and runner. From Fall 2018, he became Assistant Professor of Robotics in the CS Department at University of Colorado Boulder, where he directs the Human Interaction and RObotics [HIRO] Group.

Alessandro has more than thirteen 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.

I am looking for students! [LINK]