Helping Hands Lab @ Northeastern @HelpingHandsLab
🤖 Robotic Manipulation | Reinforcement Learning | PI Rob Platt @RobotPlatt @KhouryCollege @Northeastern www2.ccs.neu.edu/research/helpi… Boston, Massachusetts Joined March 2022-
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Our new #ICML2025 paper, led by @ZhaoHaibo47588, presents a hierarchical equivariance architecture that enables multi-level sample efficiency in visuomotor policy learning. Check it out for more details!
Our new #ICML2025 paper, led by @ZhaoHaibo47588, presents a hierarchical equivariance architecture that enables multi-level sample efficiency in visuomotor policy learning. Check it out for more details!
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!
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! https://t.co/xh4f2a0bRL
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
Excited to share our #CoRL2024 paper: OrbitGrasp—a fully SE(3)-equivariant grasp detection method for 6-DoF grasping! arxiv: arxiv.org/pdf/2407.03531
Excited to share our #CoRL2024 paper: OrbitGrasp—a fully SE(3)-equivariant grasp detection method for 6-DoF grasping! arxiv: arxiv.org/pdf/2407.03531
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
We have released the YouTube recording of our #RSS2024 workshop on "Geometric and Algebraic Structure in Robot Learning"! 🎥Youtube: youtube.com/playlist?list=… 🏠Webpage: sites.google.com/view/gas-rl-rs…
We have released the YouTube recording of our #RSS2024 workshop on "Geometric and Algebraic Structure in Robot Learning"! 🎥Youtube: youtube.com/playlist?list=… 🏠Webpage: sites.google.com/view/gas-rl-rs…
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.
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.
I'm excited about this work. The equivariant model significantly reduces the number of demos needed to train good diffusion policies.
I'm excited about this work. The equivariant model significantly reduces the number of demos needed to train good diffusion policies.
Please check our latest work: Equivariant Diffusion Policy! This is fantastic work, which significantly improves the generalization ability, accuracy, and efficiency of diffusion policy!
Please check our latest work: Equivariant Diffusion Policy! This is fantastic work, which significantly improves the generalization ability, accuracy, and efficiency of diffusion policy!
Please consider submitting your paper and attending this interesting workshop!
Please consider submitting your paper and attending this interesting workshop!
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