Postdoctoral Fellow | Carnegie Mellon University | Robotics Institute
Workshop: RSS Pioneers
[June 2022]: I was accepted to the RSS Pioneers Workshop 2022 with my work on Language-Conditioned Human-Agent Teaming.
IROS 2022 "TOM4HAT" Workshop Accepted
[May 2022]: I am organizing the Workshop on Human Theory of Machines and Machine Theory of Mind for Human-Agent Teams at IROS 2022 in Kyoto, Japan!
Postdoctoral Fellow at Carnegie Mellon University
[January 2022]: I started as a postdoctoral fellow at
Carnegie Mellon University (CMU) with Prof. Katia Sycara.
Graduation: Ph.D. in Computer Science
[December 2021]: I completed my Ph.D. in Computer Science at Arizona State University with Prof. Heni Ben Amor!
Imperial College London: Invited Talk
[July 2021]: I will be giving brief summary and outlook of my work presented in our NeurIPS 2020 paper at the Imperial College London!
Resident @ X, The Moonshot Factory
[Summer 2021]: Over the summer, I will be a resident at X, The Moonshot Factory, where I will be working on industrial manipulation tasks for Intrinsic, a robotics software and AI project at X .
Video: Language Conditioned Imitation Learning
[January 2021]: We contributed a video to the robot expo at IJCAI 2021 that is a direct extension to our NeurIPS 2020 paper. You can check out the video here!
Paper: Language-Conditioned Imitation Learning for Robot Manipulation Tasks
[December 2020]: We published a new paper at NeurIPS 2020! Our paper got accepted as a spotlight presentation (top ~4% of accepted papers). Please check out my blog post about our work!
Intel AI Labs: Invited Talk
[November 2020]: I am excited to give a talk, Language for Robotics at Intel AI Labs summarizing our efforts on learning robot policies from natural language instructions.
Teaching Introduction to Theoretical Computer Science at ASU
[Summer 2020]: I will be teaching CSE 355: Introduction to Theoretical Computer Science at Arizona State University as the main instructor during the upcoming Summer 2020 semester!
Intel AI: Talk at the Deep Learning Community
[March 2020]: I will be giving a talk at the Deep Learning Community of Practice titled Imitation Learning for Adaptive Robot Control Policies from Language, Vision, and Motion
Workshop Paper: Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
[December 2019]: We contributed a workshop paper to the Workshop on Robot Learning at NeurIPS 2019!
Best Poster Award
[January 2019]: I received the Best Poster Award by Nvidia at the Southwest Robotics Symposium for my work on Neural Policy Translation for Robot Control!
Robotics Intern @ BOSCH
[Summer 2018]: I will be joining Robot BOSCH in Sunnyvale for an internship to work on semantic data analysis with a focus on time series segmentation.
Paper: Extrinsic Dexterity through Active Slip Control using Deep Predictive Models
[May 2018]: We got our paper accepted to ICRA 2018, and I will be presenting our work in Brisbane, Australia!
Best Video Award
[November 2016]: Awarded at the International Conference on Humanoid Robots (Humanoids) 2016 for our work on Learning human-robot interactions from human-human demonstrations
About Me
Short Introduction
I am a Postdoctoral Fellow at Carnegie Mellon University's Robotics Institute, where I am part of the Advanced Agent-Robotics Technology Lab led by Prof. Katia Sycara. As part of the lab, I mainly work on Human-Agent Teaming and Machine Learning, investigating how humans and robots can efficiently collaborate in complex scenarios by analyzing the underlying concepts of trust and coordination. Before this, I received a B.Sc and M.Sc. in Engineering and Computing from the TU Bergakademie Freiberg in Germany and a Ph.D. in Computer Science from Arizona State University. During my Ph.D., I worked in the Interactive Robotics Lab led by Dr. Heni Ben Amor.
Throughout my academic career, I have worked on bridging the gap between cognition and robotics by using modern approaches to artificial intelligence. More specifically, I have implemented natural language processing methodologies to enhance imitation learning, which received the best poster award at the Southwest Robotics Symposium 2019, award by NVIDIA, as well as a spotlight presentation at NeurIPS2020. Recently, I am expanding on this work by incorporating Theory of Mind, modeling a user's mental state for better collaboration. Further, I am also interested in creating trust and competence in the system by investigating human Theory of Machines, capturing how users perceive the robot they interact with.
As a resident at X, the moonshot factory, I worked on industrial manipulation tasks for Intrinsic, a robotics software and AI project at X.
2017 - 2021
Arizona State University
Graduate Service Assistant
During my Ph.D., I worked as a teaching and research assistant on various occasions in the Interactive Robotics Lab led by Dr. Heni Ben Amor.
Awards
Best Poster Award
Awarded by NVIDIA at the Southwest Robotics Symposium 2019 for my work on “Neural Policy Translation for Robot Control”
CIDSE PhD Fellowship
Awarded 2017, 2018, 2019, 2020, and 2021 for excellent research progress and strong academic work by the “School of Computing, Informatics, and Decision Systems Engineering”
Best Video Award
Awarded at the International Conference on Humanoid Robots (Humanoids) 2016 for my work on “Learning human-robot interactions from human-human demonstrations”
Publications
Find all my workshop, conference, and journal papers here
