About Me
I am a Ph.D. student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, advised by Professor Siddhartha Srinivasa (Personal Robotics Lab) and Professor Dieter Fox (Robotics and State Estimation Lab). My research interests are in the areas of evaluation, representation, and reasoning for robot manipulation. I am currently supported by the National Science and Engineering Research Council (NSERC) Postgraduate Scholarships-Doctoral Program.
My work focuses on developing comprehensive frameworks and methodologies to assess, understand, and enhance robotic manipulation capabilities. I investigate how to evaluate robotic systems more effectively, learn better representations for manipulation tasks, and enable robots to reason about their actions and failures.
Before my Ph.D., I completed my Bachelor of Applied Science in Engineering Science with a specialization in Robotics and a minor in AI at the University of Toronto. There, I conducted research on Learning-based Perception for Transparent Objects, advised by Prof. Animesh Garg (People AI and Robotics Lab) and Prof. Florian Shkurti (Robot Vision and Learning Lab). Apart from my academic pursuits, I have worked as a research intern at Huawei Technologies R&D Canada, computer vision intern at EATLAB, and undergraduate research assistant at the National University of Singapore.
I have been honored to receive the CRA Outstanding Undergraduate Research Award - Honourable Mention and the National Undergraduate Research Award (NSERC USRA) in 2022 and 2021, respectively.
I have had the priviledge to work with some amazing collaborators, and am always looking for motivated students and new collaborations. Drop me an email if you are interested!
Recent News
- 📄 July 2025: Our work RoboEval, an evaluation framework for robot manipulation designed to diagnose and provide interpretable results beyond binary success, has been accepted.
- 📄 July 2025: Our work Molmo-Act, an action reasoning model for robotic manipulation, has been accepted.
- 📄 June 2025: Our work Point Arena, which evaluates pointing capabilities in vision language models, has been accepted.
- 📄 April 2025: Our work Sam2Act, a memory based robot policy that leverages the visual reasoning capabilities from sam2 augmented with a memory architecture, has been accepted to ICML.
- 📄 January 2025: Our work AHA, a VLM for failure detection and reasoning in robot manipulation, has been accepted to ICLR.
- 📄 September 2024: Our work Manipulate-Anything, a method for automated data-collection and verification for robotic manipulation has been accepted to CoRL.
- 🎯 January 2024: Started my internship at Nvidia Seattle Robotics Lab.
- 🎯 January 2024: Started my 2-year term as the Chair of the Student Activities Committee for the Robotics and Automation Society (RAS).
- 📄 October 2023: Our work, NEWTON, a dataset and benchmark to evaluate LLMs’ physical reasoning capabilities, accepted at EMNLP 2023, see you in Singapore!
- 📄 September 2023: Our work, AR2D2, a AR-based method for collecting robot demonstrations, accepted at CoRL 2023, see you in Atlanta!
- 🏆 April 2023: Awarded the NSERC PGSD Fellowship for my Graduate Studies
- 📄 March 2023: Our work, MVTrans, a novel multi-task perception framework & photorealistic dataset, accepted at ICRA 2023
- 📄 September 2021: Our work, TranspareNet, a encoder-decoder based depth estimation method and real-world data-collection and annotation pipeline, accepted at CoRL 2021 for Oral Presentation