BIANCHINI-LOVE ENGINEERING ELECTRICAL AND MECHANICAL DESIGN
Welcome to Bianchini-Love Engineering (BLE), the website of Bibit Bianchini and Henry Love! On this website, you will find both of our portfolios, including projects we’ve each done separately (labeled as LOVE and BIANCHINI) as well as our collaborations (labeled as BIANCHINI-LOVE). While most of the projects here relate to our specific training in electrical (Henry) and mechanical (Bibit) engineering, we document other kinds of projects here too, such as music, art, and this website itself. We continually update this site with new content and features, so be sure to check often for updates! For more information about the creators, please visit the About page.
Featured:
Live ContactNets Demo with Franka Arm
Updated: Sep 26, 2022
At the International Conference on Robotics and Automation (ICRA) in 2022 in Philadelphia, we took advantage over the conference being in our neighborhood and performed live demonstrations of our ContactNets project. The demo featured a Franka Panda robotic arm tossing a test object onto a table, and learning the object's geometry just by observing its contact-rich trajectory. My collaborators are fellow Penn PhD student Mathew Halm, Penn masters student Kausik Sivakumar, and Penn faculty Michael Posa.
Towards Human Haptic Gesture Interpretation for Robotic Systems
Updated: Sep 26, 2022
This post goes along with the paper I published at the International Conference on Intelligent Robots and Systems (IROS) in 2021 on research I conducted during my masters program. My co-authors are Stanford researcher, Prateek Verma, as well as Stanford faculty Ken Salisbury.
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions
Updated: Sep 26, 2022
This post goes along with the paper I published at the 4th annual Learning for Dynamics and Control (L4DC) in 2022. My co-authors are fellow Penn PhD student, Mathew Halm, as well as Penn faculty Michael Posa and Nikolai Matni.
Space Taco Corgi: Mechatronic Robot
Updated: Sep 26, 2022
For the notorious Stanford mechatronics course project, 3 of my classmates and I constructed a robot designed to play the 2019 ME218B challenge: the Great Pacific Garbage Patch. Designed to compete in 1-on-1 matches, autonomous robots were designed to commence when they received a start game signal, collect "garbage" (foam balls) throughout the game field, try to recycle as many as they could based on the garbage color, then throw the rest away into a landfill. All actions were autonomous, including localization, given that the robots were started in a random configuration every match.