Projects


RoboBuggy


Danielle Quan


RoboBuggy is a relatively low cost Buggy research platform that will autonomously navigate the buggy course during the annual sweepstakes competition.

Contact Info: dquan@andrew.cmu.edu


RobOrchestra


Sara Adkins


RobOrchestra aims to explore the creative possibilities for robotic instruments. We design, build and program robots that read music from MIDI data in order to put on musical performances. Our goal is to create a full robotic orchestra that is able to play from arrangements from standard MIDI files, and is also able to "improvise" unique polyphonic music in real time based off of music generation algorithms developed by our team.

Contact Info: sadkins@andrew.cmu.edu


Quadcopter


Eric Fang
Oliver Zhang


This project has gone through many different iterations. We have covered experimenting with materials for quadcopter frames, different budget quadcopters, robotics education, PCB quadcopters and other experimentation with different styles of quadcopters.

Currently, we are working on autonomous movement and area interaction with a multitude of sensors on our new quadcopter. 

Contact Info: ozz@andrew.cmu.edu, efang@andrew.cmu.edu


MP Mobile Manipulator MK2


Yosser D'Avanzo


The biggest open-source humanoid robotics project at Carnegie Mellon University! Anyone can join, regardless of major or experience. The robot is designed to do everything, and it can water plants, play piano, deliver coffee, swordfight, and more. 

Contact Info: ydavanzo@andrew.cmu.edu


Couchtron


Sean Reidy


Developing advanced robotic couches to progress human laziness to the next level!

Contact Info: sreidy@andrew.cmu.edu


BlindBot


Lucas Moiseyev


The BlindBot project is the development of a novel autonomous quadrupedal walker that can maneuver through rough terrain primarily using touch. This project aims to answer the question: how competently can robots navigate the environment without vision? Much like how animals move in complete darkness, robots might rely on physical contact to obtain a competent sense of their surroundings. This research requires the development of capable locomotion algorithms that do not use computer vision. Instead of using perceptive sensors, BlindBot uses haptics and proprioception to generate rough point clouds of its surroundings. Essentially, this project involves developing "haptic SLAM" for field robot applications.

Contact Info: lmoiseye@andrew.cmu.edu