About me

I’m a Research Engineer at Honda Research Institute, USA, working on visual scene understanding towards developing explainable models for mobility applications. I’m interested in designing human-interpretable, robust, interaction-aware intelligent agents, by leveraging domain knowledge and rules.
I graduated with a Master of Science in Robotics from Oregon State University in 2020, where I was advised by Prof. Kagan Tumer and collaborated with Intel AI Lab for my thesis.pdf.
Before that, I obtained a Master of Science in Electronics and Computer Engineering, majoring in Robotics from International Institute of Information Technology, Hyderabad, where I was advised by Prof. Madhava Krishna and Dr. Abhishek Sarkar.pdf. Prior to that, I obtained my Bachelor’s Degree in Electronics and Communication Engineering from YMCA University of Science and Technology.
My research interests span Explainable AI, Multiagent Systems, and Robotics. I’m very open to research discussions and collaborations. Please feel free to get in touch! Email: enna_sachdeva@honda-ri.com; ennasachdeva@gmail.com

News

11/2023: One paper on interpretable motion prediction accepted at Robotics and Automation Letters (RAL)
10/2023: One paper on multimodal driving dataset accepted at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV-2024)
05/2023: One paper on discovering interpretable relations presented at ICRA-2023 video
08/2022: One paper on discovering interpretable relations accepted at Robotics and Automation Letters (RAL)
06/2022: One paper on goal conditioned interpretable trajectory prediction accepted at IROS-2022
04/2022: One paper on Driver’s Adaptive Situational Awareness accepted at Intelligent Vehicles (IV) 2022
03/2021: I joined Honda Research Institute USA, Inc. as a Machine Learning Research Engineer
03/2021: One paper on Multiagent Coordination is accepted at GECCO-2021
12/2020: One Extended Abstract on Multiagent Coordination is accepted at AAMAS-2021