I’m a Research Engineer at Honda Research Institute, USA, where I develop embodied AI agents that leverage vision, language, and dynamic interaction models to build interpretable and adaptive autonomous systems that enhance trust and safety. My current focus is on building future agents that co-adapt with humans, model complex interactions, and plan collaboratively in dynamic environments. I hold an M.S. in Robotics from Oregon State University (2020), advised by Dr. Kagan Tumer with Intel AI Lab collaboration (MS thesis), and an M.S. in ECE with a major in Robotics from IIIT Hyderabad, under Dr. Madhava Krishna and Dr. Abhishek Sarkar (MS thesis). My research interests include Explainable AI, Multiagent Systems, and Robotics. I welcome research discussions and collaborations—please feel free to reach out at enna_sachdeva@honda-ri.com or ennasachdeva@gmail.com

News

• 07/2025: One paper on Amodal Completion for Human-Object Interaction accepted at ICCV 2025.
• 02/2025: One paper on enhancing multi-step reasoning in Vision Language models with GFlowNets accepted at CVPR 2025.
• 01/2025: One paper on mission planning for multi-robot teams using LLMs accepted at ICRA 2025.
• 09/2024: One paper on body pose estimation from egocentric video accepted at NeurIPS 2024.
• 01/2024: One paper on optimal driver warning generation accepted at ICRA 2024.
• 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.
• 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: Joined Honda Research Institute USA, Inc. as a Machine Learning Research Engineer.
• 03/2021: One paper on Multiagent Coordination accepted at GECCO-2021.
• 12/2020: One Extended Abstract on Multiagent Coordination accepted at AAMAS-2021.

Conference Reviewer

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025
• International Conference on Computer Vision (ICCV) 2025
• IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025, 2026
• Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
• International Conference on Learning Representations (ICLR) 2025
• IEEE Robotics and Automation Letters (RAL) 2022, 2025
• IEEE International Conference on Robotics & Automation (ICRA) 2025
• Association for the Advancement of Artificial Intelligence (AAAI) 2024
• Conference on Robot Learning (CORL) 2023
• IEEE Intelligent Vehicles Symposium (IV) 2023
• IEEE International Conference on Machine Learning and Applications (ICMLA) 2022
• IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2022

Research Interests

• Multimodal LLMs
• Embodied AI
• Explainable AI
• Multiagent Systems