Vaibhav Saxena

I am a ML Ph.D. student at Georgia Tech, where I work at the Robot Learning and Reasoning Lab (RL2) directed by Prof. Danfei Xu. My research involves generative models for memory 🧠, manipulation 🦾, and vision 👁️. My primary focus is on learning generalizable robot policies using minimal expert supervision.

See more about my professional experience here and also on my CV (Aug, 2025).

News

[July 2026] NOSTRA accepted at RA-L 🎉
[April 2026] KinDER accepted at RSS 2026 🎉
[July 2025] We release the full MimicLabs framework, consisting of data generation code, simulation environments, and datasets.
[Jan 2025] MimicLabs accepted at ICLR 2025 🎉
[Aug 2024] Our paper on “C3DM: Constrained-Context Conditional Diffusion Models for Imitation Learning” got accepted at TMLR 2024 🎉
[Mar 2024] We will be organizing the “Data Generation for Robotics Workshop” at RSS 2024 in Delft, Netherlands!
[Feb 2023] I will be returning to Autodesk Research as a Research Intern during Summer 2023
[Jan 2023] Our paper on “Generalizable Pose Estimation using Implicit Scene Representations” got accepted at ICRA 2023 🎉
[Dec 2022] I will be presenting our paper on “Guiding Exploration Towards Impactful Actions” at the Deep RL Workshop in NeurIPS 2022
[Feb 2022] I will be spending the Summer of 2022 as a Research Intern at Autodesk Research
[Dec 2021] I will be presenting our paper on “Clockwork Variational Autoencoders” at NeurIPS 2021 [tweet]
[Aug 2021] Joining the ML Ph.D. program at Georgia Tech!
[Apr 2021] Clockwork VAEs featured on Towards Data Science!

Research (representative works highlighted)

NOSTRA: Enabling Robust Robot Imitation via Multimodal Latent Imagination

Vaibhav Saxena, Yunhao Luo, Yotto Koga, Danfei Xu

RA-L, 2026

📄 Paper

KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning

Yixuan Huang*, Bowen Li*, Vaibhav Saxena*, Yichao Liang, Utkarsh Aashu Mishra, Liang Ji, Lihan Zha, Jimmy Wu, Nishanth Kumar, Sebastian Scherer, Danfei Xu, Tom Silver

RSS, 2026

📄 Paper 🌐 Project Website 💻 Code