I'm a Research Assistant in Robotics at MIT CSAIL currently working on robotic manipulation and control. I previously worked with Professor David Parkes at Harvard studying multi-agent systems. My research focuses on developing algorithms that enable robots to learn complex manipulation skills. I'm particularly interested in combining imitation learning and reinforcement learning approaches to achieve reliable and precise robotic control. Some of my recent work has focused on diffusion-based policies for robotic manipulation, data-efficient imitation learning for assembly tasks, and scalable data collection systems for robot learning. Through my research, I aim to make robots more capable of performing real-world manipulation tasks by developing learning algorithms that can effectively leverage demonstrations, exploration, and large-scale data collection. I've published papers at major robotics and machine learning venues, with applications ranging from furniture assembly to precise object insertion tasks.
Check out videos and code for my projects at https://ankile.com
Publications
The DONUT Approach to EnsembleCombination Forecasting
L. Ankile, Kjartan Krange
arXiv.org 2022
I See You! Robust Measurement of Adversarial Behavior
L. Ankile, David C. Parkes