Robotics Engineering

The Impacts of Robotics on our World

The robotics engineering course is designed for high-school students to provide them with understanding of robotics as an engineering discipline. The participating students will learn about a number of newly emerging robotics technologies and their impacts on a variety of areas ranging from industrial sectors, such as manufacturing, medical, defense; home assistance to elderly and disabled people; to improving learning for autistic children/students. The main goal of the course is to motivate the students in pursuing robotics as an engineering discipline by providing them an introduction to behind the scenes science and art of robotics. The course will involve interactive and fun-filled group sessions that include video lectures, interacting with real world robots, and hands-on programming.

This class will provide introduction to robotics engineering, introduction to real world robots, and hands-on experience to students. The students will get to experience:

  • Interactive introductory lectures on history of robotics and overview of robotics engineering as an interdisciplinary field.
  • An overview of the three main areas of robotics engineering using a mix of video tutorials and class discussions. The areas are:
    • Biological Robotics
    • Human-robot interaction
    • Sensor networks
  • An invigorating hands-on experience of discovering the intricacies of electrical circuit wiring, programming on microcontrollers, data collection, introduction to sensors and actuators.
  • Lab experience interacting with real world robots. As an example,  you will briefly wirelessly control the left/right movement of an insect by micro stimulation of the antenna nerves. The cyborg is a great way to learn about neuroscience, control systems, microcontrollers and micro-robotics.

    By the end of this course students will be able to:

    1. Demonstrate an understanding of the robotics as an engineering discipline, state of the art in robotics and the relevant skills and knowledge required to become a roboticist.
    2. Describe the nature and type of research work conducted in robotics in various state of the art robotics disciplines and the impact of those on our world.
    3. Develop problem solving, critical thinking, and programming skills.

    Faculty:

    Shalabh Gupta is a renowned researcher and has research interests that are built around various problems related to Cyber-physical Systems. In particular, he studies Data Analytics, Information Fusion, Resilient Infrastructures, Distributed Intelligent Systems, Networked-control Systems, Swarm Robotics, Sensor Networks, Smart Grids, Unmanned Autonomous Vehicles, Adaptive Navigation & Path Planning, and Diagnostics & Prognostics in Complex Systems. Dr. Gupta is an Associate Professor within the School of Engineering

    Abhishek Dutta has established a long career of research and professorship in cybernetics, controls and neural engineering. He attained an Erasmus Mundus Master of Science with distinction from the School of Informatics at the University of Edinburgh in 2007, where his thesis received the Informatics Prize for Outstanding Thesis. He started his Ph.D. in Electromechanical Engineering at Ghent University in 2010 and finished it as a junior member of Wolfson College Cambridge. Dr. Dutta then moved on to a Postdoctoral Research Associate position with Prof. Cedric Langbort in the Coordinated Science Laboratory within the Department of Aerospace Engineering at the University of Illinois at Urbana- Champaign. He has numerous journal publications and peer reviewed conference proceedings to his credit and has delivered several invited talks at prestigious venues. During the academic year Dr. Dutta is an Assistant Professor within the School of Engineering

    Ashwin Dani received the M.S. and Ph.D. degrees from the University of Florida (UF), Gainesville, FL, USA, in 2008 and 2011, respectively. After graduation from Ph.D., he was a Post-Doctoral Research Associate at the University of Illinois, Urbana-Champaign, IL, USA. In 2013, he joined4 the faculty of Electrical and Computer Engineering (ECE) as Assistant Professor at the University of Connecticut, Storrs, CT, USA, where he is currently an Associate Professor. His research interests related to robotics engineering include human–robot collaboration, autonomous navigation of robots, nonlinear estimation and control, and machine learning. Dr. Dani actively participates in outreach and teaching activities related to robotics at UConn and is an active researcher in the field of controls and robotics.

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    At a Glance:


    Sessions Offered:

    • Session 3: July 12th - July 18th

    Location: UConn Storrs 

    Supplemental Course Fee: $75.00

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