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
- 06/2025: One paper on multi-step reasoning in Vision Language models with GFlowNets accepted at CVPR 2025 pdf
- 01/2025: One paper on mission planning for multi-robot teams using LLMs accepted at ICRA 2025 pdf
- 09/2024: One paper on body pose estimation from egocentric video accepted at NeurIPS 2025 pdf
- 01/2024: One paper on optimal driver warning generation accepted at ICRA 2024 pdf
- 11/2023: One paper on interpretable motion prediction accepted at Robotics and Automation Letters (RAL) pdf
- 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
Conference Reviewer
- NeurIPS, CVPR, WACV, ICCV, AAAI, ICLR, CoRL, IV, ICRA, ICMLA, RAL, ROMAN
Research Interests
- Multimodal LLMs
- Embodied AI
- Explainable AI
- Multiagent Systems