On Robot Learning With Equivariant Models

Media Summary: Paper: Project webpage: Abstract: Recently, ... Episode 6: In this episode, we explore ML ICRA'25 Towards Reliable & Trustworthy Embodied AI in Everyday Scenarios (RT-eAI) Workshop Invited Talk: From Geometric to ...

On Robot Learning With Equivariant Models - Detailed Analysis & Overview

Paper: Project webpage: Abstract: Recently, ... Episode 6: In this episode, we explore ML ICRA'25 Towards Reliable & Trustworthy Embodied AI in Everyday Scenarios (RT-eAI) Workshop Invited Talk: From Geometric to ... February 23, 2024 Dorsa Sadigh, Stanford University In this talk, I will discuss how interactive This video introduces EquAct. github.com/ZXP-S-works/EquAct. Become The AI Epiphany Patreon ❤️ ‍ ‍ ‍ Join our Discord community ...

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On-Robot Learning With Equivariant Models

Sample Efficient Grasp Learning Using Equivariant Models

On Robot Grasp Learning Using Equivariant Models: grasping cluttered transparent objects via RL

Guest Lecture by Minghan Zhu - Equivariant Learning for Robotic 3D Perception

Equivariant Models | Open Catalyst Intro Series | Ep. 6

On-Robot Policy Learning with O(2)-Equivariant SAC

Lecture on Equivariant Learning for Robotic Manipulation

[ICRA'25 RT-eAI Workshop] Angela Schoellig: From Geometric to Semantic Safety in Robot Learning

Stanford Seminar - Robot Learning in the Era of Large Pretrained Models

[ICLR2026] EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation

SO(2)-Equivariant Reinforcement Learning

ICRA2023 - SEIL: Simulation-augmented Equivariant Imitation Learning

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On-Robot Learning With Equivariant Models

On-Robot Learning With Equivariant Models

Paper: https://arxiv.org/pdf/2203.04923.pdf Project webpage: https://pointw.github.io/equi_robot_page/ Abstract: Recently, ...

Sample Efficient Grasp Learning Using Equivariant Models

Sample Efficient Grasp Learning Using Equivariant Models

In Proceedings

On Robot Grasp Learning Using Equivariant Models: grasping cluttered transparent objects via RL

On Robot Grasp Learning Using Equivariant Models: grasping cluttered transparent objects via RL

On Robot

Guest Lecture by Minghan Zhu - Equivariant Learning for Robotic 3D Perception

Guest Lecture by Minghan Zhu - Equivariant Learning for Robotic 3D Perception

MOBILE

Equivariant Models | Open Catalyst Intro Series | Ep. 6

Equivariant Models | Open Catalyst Intro Series | Ep. 6

Episode 6: In this episode, we explore ML

On-Robot Policy Learning with O(2)-Equivariant SAC

On-Robot Policy Learning with O(2)-Equivariant SAC

Paper: https://arxiv.org/pdf/2203.04923.pdf Abstract: Recently,

Lecture on Equivariant Learning for Robotic Manipulation

Lecture on Equivariant Learning for Robotic Manipulation

Guest lecture on

[ICRA'25 RT-eAI Workshop] Angela Schoellig: From Geometric to Semantic Safety in Robot Learning

[ICRA'25 RT-eAI Workshop] Angela Schoellig: From Geometric to Semantic Safety in Robot Learning

ICRA'25 Towards Reliable & Trustworthy Embodied AI in Everyday Scenarios (RT-eAI) Workshop Invited Talk: From Geometric to ...

Stanford Seminar - Robot Learning in the Era of Large Pretrained Models

Stanford Seminar - Robot Learning in the Era of Large Pretrained Models

February 23, 2024 Dorsa Sadigh, Stanford University In this talk, I will discuss how interactive

[ICLR2026] EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation

[ICLR2026] EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation

This video introduces EquAct. https://openreview.net/forum?id=d1wuA8oIH0 github.com/ZXP-S-works/EquAct.

SO(2)-Equivariant Reinforcement Learning

SO(2)-Equivariant Reinforcement Learning

Project website: https://pointw.github.io/equi_rl_page/ Paper: https://arxiv.org/pdf/2203.04439.pdf Abstract:

ICRA2023 - SEIL: Simulation-augmented Equivariant Imitation Learning

ICRA2023 - SEIL: Simulation-augmented Equivariant Imitation Learning

ICRA 2023 poster.

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Paper Explained

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Paper Explained

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