Resume
Academic Achievements
- Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach, IEEE Robotics and Automation Letters, 2025 + ICRA 2026
- X-Nav: Learning End-to-End Cross-Embodiment Navigation for Mobile Robots, Under Review at RAL, 2025
- 4CNet: A Diffusion Approach to Map Prediction for Decentralized Multi-Robot Exploration, Under Revision at T-RO, 2025
- MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models, Under Review at RAL, 2024
- OLiVia-Nav: An Online Lifelong Vision Language Approach for Mobile Robot Social Navigation, CoRL Workshop: Lifelong Learning for Home Robots (Spotlight Presentation), 2024, ICRA 2025 (Accepted)
- Find Everything: A General Vision Language Model Approach to Multi-Object Search, CoRL Workshop: Language and Robot Learning, 2024
- NavFormer: A Transformer Architecture for Robot Target-Driven Navigation in Unknown and Dynamic Environments, IEEE Robotics and Automation Letters, 2024 + ICRA 2025
Research Experience
- Worked at Syncere; Previously a postdoctoral researcher at Stanford University.
Education
- PhD from the University of Toronto; Postdoctoral researcher at Stanford University.
Background
- Currently building robotic lamps at Syncere. Research interests include developing robots for human-centric environments, to enable natural human interaction, advanced reasoning, and knowledge sharing among robots.