Peter Mitrano, PhD
mitranopeter [at] gmail.com
mitranopeter [at] gmail.com
Real Robots That Learn.
Research & Open-Source.
Education, Equity, & Ethics.
First hire for R&D team at Berkshire Grey working on robot learning for warehouse & materials handling applications.
PhD in Robotics at the University of Michigan advised by Professor Dmitry Berenson, defending December 2023.
"Data-Efficient Robotic Manipulation of Deformable One-dimensional Objects with Unreliable Dynamics"
Publications in the journal Science Robotics, and in conferences including RSS and ICRA.
Over 200 repositories on my GitHub, including open source contributions to MoveIt, MuJoCo, and Gazebo.
Interested in hiring me? Contact me at mitranopeter@gmail.com
Grasp Loop Signature: A Topological Representation for Manipulation of Ropes and Cables.
Peter Mitrano, Dmitry Berenson. ICRA, 2024
🔗 Focused Adaptation of Dynamics Models for Deformable Object Manipulation.
Peter Mitrano, Alex LaGrassa, Oliver Kroemer, Dmitry Berenson. ICRA, 2023
🔗 Data Augmentation for Manipulation.
Peter Mitrano, Dmitry Berenson. RSS, 2022
🔗 Learning Where to Trust Unreliable Models in an Unstructured World for Deformable Object Manipulation.
Peter Mitrano, Dale McConachie. Dmitry Berenson. Science Robotics, May 2021
🔗 Learning When to Trust a Dynamics Model for Planning in Reduced State Spaces. ICRA 2020
🔗 A Minimalistic Approach to Segregation in Robot Swarms. The 2nd IEEE International Symposium On Multi-Robot and Multi-Agent Systems
🔗 Using Recurrent Neural Networks to Judge Fitness in Musical Genetic Algorithms. The 5th International Workshop on Musical Metacreation (MUME)
Data Augmentation for Online Learning of Rope Manipulation. Workshop on Representing and Manipulating Deformable Objects. P. Mitrano, D. Berenson. (2022).
Learning When to Trust a Dynamics Model When Planning With Physical Constraints. Machine Learning in Planning and Control of Robot Motion Workshop. P. Mitrano, D. McConachie, D. Berenson. (2020).
I integrated instance segmentation into a traditional manipulation planning pipeline, enabling the first autonomous perception-driven behaviors in the MoveIt Studio beta product.
Read my blog post!
I worked for two consecutive summers on the problem of predicting future paths of actors detected by the autonomous vehicle. I made both software engineering and algorithmic contributions.
I worked at Open Robotics, supervised by Nathan Koenig. The aim of my project was to allow FIRST Robotics Teams to use the Gazebo robot simulator to simulate their robots and practice programming. This project involved cross-architecture and cross-platform C++/Java development.
I've also worked at Propulsion Science Technology, the RAIL lab at Georgia Tech, and Diligent Droids.
Completed 10 workshops on a variety of DEI topics and completed the Intercultural Development Inventory.
Served as President, Social chair and Colloquium chair. I participated in several outreach events for local girl scout troops and middle schools, including hand-on engineering activities and lab tours. I have also organized colloquiums for UM Robotics students to share and discuss their research.