The Safe Robotics Lab team

Gabriele holds a PhD in Mathematics from Polytechnique Montréal. He joined Princeton as a Postdoctoral Research Associate in Fall 2022, in a combined position between the Safe Robotics Lab and Bartolomeo Stellato’s group in ORFE. His research straddles mathematical optimization, algorithmic game theory, and machine learning.

Kai-Chieh started his PhD at Princeton in Fall 2019 and joined the Safe Robotics Lab in Fall 2020. He’s interested in harnessing machine learning to obtain tractable guarantees for autonomous robots and multi-agent systems.

Haimin started his PhD at Princeton in Fall 2020 after completing his Master’s degree at the University of Pennsylvania. He is interested in decision-making under uncertainty, dynamic game theory, and real-time planning and control algorithms for safe human-robot interaction.

Zixu started his PhD at Princeton in Fall 2020 after completing his Master’s degree at the University of Michigan. He’s interested in mobile robot perception, state estimation, and interaction with the real world.

Duy started his PhD at Princeton in Spring 2021. He wants to build robotic systems that can learn and adapt safely and robustly in uncertain new situations.

Maddie started her PhD at Princeton in Fall 2022 after earning her B.S. in Electrical Engineering at The College of New Jersey. She’s interested in safe navigation of underwater robots for the purpose of environmental monitoring. She hopes to build robot systems that can make decisions under uncertainty and are robust to disturbances.

Kaiqu started his PhD at Princeton in Fall 2022. He is interested in building language-enabled robots that can effectively reason about the environment, deal with uncertainty, and interact with humans safely.

Robert is designing new efficient actuators for robots with many degrees of freedom through mechanical multiplexing.

Elie (class of 2022) is designing motion primitives for legged robots to autonomously walk… and dance.

Ritika (class of 2022, co-advised by Prof. Naomi Leonard) is using opinion dynamics to shed light on how collaboration emerges among people. And perhaps robots.

Isabella (class of 2023) is looking into motion-based inference and communication for human-robot partner dancing.

Kenar (class of 2023) is experimenting with transformer neural network architectures to predict human behavior in driving settings.

Etiosa (class of 2024) is applying nonlinear opinion dynamics to model how humans and robots infer each other’s goals and beliefs during interactions.

Vikash (class of 2023) is interested in using specialized hardware to enable fast onboard decision-making on lightweight robots.

Jonathan is a final-year PhD student who wants robots to learn not only from what humans teach them, but also from what they don’t.

María is a postdoc in Prof. Naomi Leonard’s group working to make robots behave intelligently in groups—as well as dance with people.

Ken graduated from Princeton in Spring 2023 and started his PhD at CMU Robotics Institute. He investigated safe and scalable multi-robot motion planning at the Safe Robotics Lab.

Promise completed her Master’s thesis on leveraging game-theoretic approaches and reinforcement learning to study emergent persuasiveness in large language agents. She is interested in safe human-robot interaction in team settings. She went on to pursue her PhD at Cornell.

Dennis completed his Master’s thesis in safe real-time trajectory planning for multi-vehicle systems.

Cedrick received his Masters in Computer Science in Spring 2022 and joined The Aerospace Corporation.

Jovana graduated from Princeton in Spring 2021 and went on to pursue her PhD at MIT, focused on human-robot safety.

Anoop graduated from Princeton in Spring 2021 and, after year at RoboTire, started his PhD journey at MIT.

Digit is a bipedal robot made by Agility Robotics, with the ability to move around and physically interact with objects and people around it. Don’t be misled by its calm appearance, this robot packs some slick salsa moves.

Spirit is a quadrupedal robot designed by Ghost Robotics to walk robustly on a wide range of terrains. If you stop by our lab you may find it trotting around learning how to safely navigate new obstacle courses.

Mini Truck is “homemade” by the Safe Robotics Lab as part of the experiment hardware used in the ECE 346 course.