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Roncone, Alessandro Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • 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‚Äôs 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.

keywords

  • Human-Robot Collaboration, Human-Robot Interaction, Humanoid Robotics, Advanced Manufacturing, Cognitive Robotics

Publications

selected publications

Teaching

courses taught

  • CSCI 3302 - Introduction to Robotics
    Primary Instructor - Fall 2018 / Spring 2020 / Spring 2021
    Introduces students to fundamental concepts in autonomous robotics: mechanisms, locomotion, kinematics, control, perception and planning. Consists of lectures and lab sessions that are geared toward developing a complete navigation stack on a miniature mobile robotic platform. Same as ECEN 3303.
  • CSCI 4950 - Senior Thesis
    Primary Instructor - Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021
    Provides an opportunity for senior computer science majors to conduct exploratory research in computer science. Department enforced restriction, successful completion of a minimum of 36 credit hours of Computer Science coursework and approved WRTG. May be repeated up to 8 total credit hours.
  • CSCI 6950 - Master's Thesis
    Primary Instructor - Fall 2021
    -
  • CSCI 7000 - Current Topics in Computer Science
    Primary Instructor - Spring 2019 / Summer 2020 / Fall 2020 / Fall 2021
    Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours.

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