Welcome to my site! I’m a roboticist and machine learning engineer, currently working as part of the Waymo ML Planner team in New York City. Previously, I was a Research Scientist at the New York Samsung AI Center, where I worked on deep learning for robotic manipulation. I did my Ph.D in Mechanical Engineering at the University of Pennsylvania with Mark Yim in ModLab, part of the GRASP Lab. During my Ph.D, I developed robots that can transform between different shapes (like a car, snake, or arm) and build structures. |
Featured Research |
Pixels to Plans
We present a novel method enabling robots to quickly learn to manipulate objects by leveraging a motion planner to generate “expert” training trajectories from a small amount of human-labeled data. In contrast to the traditional sense-plan-act cycle, we propose a deep learning architecture and training regimen called PtPNet that can ...
Autonomous Modular Robots
Science Robotics, 2018. The theoretical ability of modular robots to reconfigure in response to complex tasks in a priori unknown environments has frequently been cited as an advantage and remains a major motivator for work in the field. We present a modular robot system capable of autonomously completing high-level tasks by ...
Environment Augmentation with Modular Robots
Featured on IEEE Spectrum and TechCrunch! We present a system enabling a modular robot to autonomously build structures in order to accomplish high-level tasks. Building structures allows the robot to surmount large obstacles, expanding the set of tasks it can perform. This addresses a common weakness of modular robot systems, ...
All Research
Pixels to Plans
We present a novel method enabling robots to quickly learn to manipulate objects by leveraging a motion planner to generate ...
Autonomous Modular Robots
Science Robotics, 2018. The theoretical ability of modular robots to reconfigure in response to complex tasks in a priori unknown environments ...
Environment Augmentation with Modular Robots
Featured on IEEE Spectrum and TechCrunch! We present a system enabling a modular robot to autonomously build structures in order ...
The EP-Face Connector
Conference Highlight Talk. We present the EP-Face connector, a novel connector for hybrid chain-lattice type modular robots that is high- ...
An End-to-End System for Accomplishing Tasks with Modular Robots
Best Systems Paper, RSS 2016. In this paper, we present an end-to-end system for addressing tasks with modular robots, and ...
Computer-Aided Compositional Design and Verification for Modular Robots
To take full advantage of the flexibility of a modular robot system, users must be able to create and verify ...
Modular Robot Design Embedding
We have developed an algorithm that automatically detects embeddability of modular robot configurations. Simply put, a given design embeds another ...
Kinematic Retargeting
Kinematic Retargeting is a process by which a pose or motion may be translated from one platform (robot, human, or ...