🤖 Robotic Manipulation | Reinforcement Learning | PI Rob Platt @RobotPlatt @KhouryCollege @Northeastern

Boston, Massachusetts
Joined March 2022
Helping Hands Lab @ Northeastern retweeted
Closed-loop visuomotor control with wrist cameras is widely adopted and powerful, but leveraging full 3D symmetry from only RGB is still hard. Introducing our #NeurIPS2025 Spotlight paper, Image-to-Sphere Policy (ISP), for equivariant policy learning from eye-in-hand RGB images.
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Helping Hands Lab @ Northeastern retweeted
Equivariant policy typically requires depth for symmetric representation, what if we only have a wrist-mounted RGB camera? ISP projects RGB image onto a sphere for 3D equivariant reasoning. @boce_hu and I will be at #NeurIPS2025 to present this paper, Fri. poster session 6 #2315!
Closed-loop visuomotor control with wrist cameras is widely adopted and powerful, but leveraging full 3D symmetry from only RGB is still hard. Introducing our #NeurIPS2025 Spotlight paper, Image-to-Sphere Policy (ISP), for equivariant policy learning from eye-in-hand RGB images.
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Helping Hands Lab @ Northeastern retweeted
Honored to receive my first best paper nomination from @corl_conf! Had such a great time at #CoRL2024, huge thanks to the organizing committee and all my co-authors: Steve, David, @tarikkelestemur, @HaojieHuang13, @ZhaoHaibo47588, Mark, JW, @RobinSFWalters, @RobotPlatt!
Introducing Equivariant Diffusion Policy, a novel sample efficient BC algorithm based on equivariant diffusion. Our method leverages the symmetry in policy denoising to boost learning — needing 5x less training data in sim and mastering complex tasks in real-world with <60 demos.
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Helping Hands Lab @ Northeastern retweeted
Perfect start to the #CoRL2024 week! Was a pleasure organizing the NextGen Robot Learning Symposium at @TUDarmstadt with @firasalhafez @GeorgiaChal Thanks to the speakers for the great talks! @YunzhuLiYZ @NimaFazeli7 @Dian_Wang_ @HaojieHuang13 @Vikashplus @ehsanik @Oliver_Kroemer – at Darmstadt, Germany
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Helping Hands Lab @ Northeastern retweeted
Join us on Monday October. 14th at 2pm (UTC+4) in #IROS2024 Workshop on Equivariant Robotics. A great lineup of keynote speakers will discuss how symmetry penetrates each and every subfield of robotics. Website and Zoom Link: equirob2024.github.io/
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Helping Hands Lab @ Northeastern retweeted
We have released the YouTube recording of our #RSS2024 workshop on "Geometric and Algebraic Structure in Robot Learning"! 🎥Youtube: youtube.com/playlist?list=PL… 🏠Webpage: sites.google.com/view/gas-rl…
🤖 Excited for #RSS2024? Don’t miss our workshop on "Geometric and Algebraic Structure in Robot Learning"! Submit workshop papers (by 6/10 AOE) and dive into discussions on leveraging these structures for enhanced #robotics. 🚀🔍 Join us on 07/19 in Delft, Netherlands!
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Helping Hands Lab @ Northeastern retweeted
Instead of inferring a desired object pose directly, this method "imagines" a reconstruction of the entire scene in the target pose. Surprisingly, we find that this improves sample efficiency, even though we are inferring more information.
Checkout our new work, Imagination Policy. We leverage a point cloud diffusion model to “imagine” a target scene, then use SVD to calculate rigid transformations that bring objects to the imagined scene as robot actions. More importantly, Imagination Policy is bi-equivariant!
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Helping Hands Lab @ Northeastern retweeted
I'm excited about this work. The equivariant model significantly reduces the number of demos needed to train good diffusion policies.
Introducing Equivariant Diffusion Policy, a novel sample efficient BC algorithm based on equivariant diffusion. Our method leverages the symmetry in policy denoising to boost learning — needing 5x less training data in sim and mastering complex tasks in real-world with <60 demos.
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Helping Hands Lab @ Northeastern retweeted
Our research on Symmetric Models for Visual Force Policy Learning, just got accepted to be presented at IEEE Robotics and Automation Society at Yokohama, Japan this year. Sincere thank you to Professor Rob Platt for the opportunity to contribute to the @HelpingHandsLab at @KhouryCollege and to Colin Kohler for guidance and leading the effort. Here is our paper: arxiv.org/abs/2308.14670
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Helping Hands Lab @ Northeastern retweeted
Happy to share our #CoRL23 paper about leveraging symmetry for POMDPs. We formulate group-invariant POMDPs that are symmetric in the history space. As expected, equivariant recurrent policies shine in solving them. For more, please see sites.google.com/view/equi-r….
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Helping Hands Lab @ Northeastern retweeted
Incredibly proud to have hosted the Workshop on Symmetries in Robot Learning at #RSS2023! Insightful talks and engaging discussions. Huge thank to our speakers @tesssmidt @haosu_twitr @GhaffariMaani @andyzeng_ @erikjbekkers @HughWang19 and every participants who have joined us!
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Helping Hands Lab @ Northeastern retweeted
Delighted to announce the schedule of the Workshop on Symmetries in Robot Learning @RoboticsSciSys! Join the discussion with our incredible speakers @tesssmidt @haosu_twitr @GhaffariMaani @andyzeng_ @erikjbekkers @HughWang19. Can't wait to see you there! sites.google.com/view/rss23-….
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Helping Hands Lab @ Northeastern retweeted
Excited to present our work - Edge Grasp Net: A Graph-Based SE(3)-invariant Approach to Grasp Detection at #ICRA2023! A new grasping method first incorporates SE(3) invariance and is purely based on geometric features. Project Website: haojhuang.github.io/edge_gra…
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Helping Hands Lab @ Northeastern retweeted
Very excited to present our work at #ICRA2023! Our work introduces a novel 3D data augmentation method and equivariant policy learning, leading to high data efficiency. Our video shows how our method learns manipulation tasks using less than 10 demos, trained from scratch! 1/n
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Helping Hands Lab @ Northeastern retweeted
Very happy to share my new paper Invariant Slot Attention (ISA), which was recently accepted to #ICML2023. ISA does better at object discovery by disentangling object pose, scale and appearance. It can also edit scenes – try our demo at huggingface.co/spaces/ondrej… 🤗! (1/8)
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Helping Hands Lab @ Northeastern retweeted
How can we efficiently model uncertainty over 3D object orientation given a single image? Our #ICLR23 work shows how to leverage SO(3) symmetry to better learn complex rotation distributions. My talk is on Tues. (May 2nd) in Oral3 Track2 (AD12), & Poster Session 3
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Helping Hands Lab @ Northeastern retweeted
Facing an equivariant task with mismatched image & object transformations? Our #ICLR2023 paper discovers the power of equivariant network when enforcing symmetry to out-of-distribution data. Join my talk tmr (May 1st) in Oral2 Track4 (AD10) at 3:10 or drop by Poster Session 2! 1/
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Helping Hands Lab @ Northeastern retweeted
I have successfully defended my master’s thesis today! Huge thanks to my advisor @RobotPlatt and committee member @RobinSFWalters for their invaluable support throughout my master’s studies. It has been an honor to work with all the smart people in the @HelpingHandsLab .
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Helping Hands Lab @ Northeastern retweeted
Excited to announce the #RSS2023 Workshop on Symmetries in Robot Learning! Submit your work and join us to explore how symmetries can help in robotics with our incredible speakers @andyzengtweets @HughWang19 @haosu_twitr @tesssmidt @erikjbekkers. Website: sites.google.com/view/rss23-….
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