Media Summary: Experiment demonstrations of the proposed latent methods based on ICRA 2018 Spotlight Video Interactive Session Thu PM Pod J.1 Authors: Devin, Coline; Abbeel, Pieter; Darrell, Trevor; Levine, ... Abstract: Foundation models, such as GPT, have marked significant achievements in the fields of natural language and vision, ...

Learning Dynamic Object Centric Representations For Robotic Manipulation - Detailed Analysis & Overview

Experiment demonstrations of the proposed latent methods based on ICRA 2018 Spotlight Video Interactive Session Thu PM Pod J.1 Authors: Devin, Coline; Abbeel, Pieter; Darrell, Trevor; Levine, ... Abstract: Foundation models, such as GPT, have marked significant achievements in the fields of natural language and vision, ... Video attached to the EAAI submission ID EAAI-25-390. Robotics & AI Summer School 2021 Efficient This video demonstrates our research on hierarchical reinforcement

In this AI Research Roundup episode, Alex discusses the paper: 'DynamicVLA: A Vision-Language-Action Model for Prof. Berenson's research focuses on creating algorithms that allow VCA:Vision-Click-Action framework for object centric manipulation Amazon released ARMBench, a large-scale benchmark dataset for perception and

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Learning Dynamic Object-centric Representations for Robotic Manipulation
Deep Object-Centric Representations for Generalizable Robot Learning
[NUS Robotics Seminar] Foundation Models for Robotic Manipulation: Opportunities and Challenges
Symbolic Representation of Objects Relative Poses for Robotic Manipulation Tasks
SORNet: Spatial Object-Centric Representations for Sequential Manipulation
Language-Guided Object-Centric Diffusion Policy for Collision-Aware Robotic Manipulation
Efficient representations for robotic manipulation: combining analytical & learning-based approaches
Learning 3D Dynamic Scene Representations for Robot Manipulation
Hierarchical Reinforcement Learning for Multi-object Safe Robotic Manipulation | Research Demo
GROOT: Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method
DynamicVLA: Fast VLA for Dynamic Object Manipulation
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Learning Dynamic Object-centric Representations for Robotic Manipulation

Learning Dynamic Object-centric Representations for Robotic Manipulation

Experiment demonstrations of the proposed latent methods based on

Deep Object-Centric Representations for Generalizable Robot Learning

Deep Object-Centric Representations for Generalizable Robot Learning

ICRA 2018 Spotlight Video Interactive Session Thu PM Pod J.1 Authors: Devin, Coline; Abbeel, Pieter; Darrell, Trevor; Levine, ...

[NUS Robotics Seminar] Foundation Models for Robotic Manipulation: Opportunities and Challenges

[NUS Robotics Seminar] Foundation Models for Robotic Manipulation: Opportunities and Challenges

Abstract: Foundation models, such as GPT, have marked significant achievements in the fields of natural language and vision, ...

Symbolic Representation of Objects Relative Poses for Robotic Manipulation Tasks

Symbolic Representation of Objects Relative Poses for Robotic Manipulation Tasks

Video attached to the EAAI submission ID EAAI-25-390.

SORNet: Spatial Object-Centric Representations for Sequential Manipulation

SORNet: Spatial Object-Centric Representations for Sequential Manipulation

We propose SORNet (Spatial

Language-Guided Object-Centric Diffusion Policy for Collision-Aware Robotic Manipulation

Language-Guided Object-Centric Diffusion Policy for Collision-Aware Robotic Manipulation

https://arxiv.org/abs/2407.00451.

Efficient representations for robotic manipulation: combining analytical & learning-based approaches

Efficient representations for robotic manipulation: combining analytical & learning-based approaches

Robotics & AI Summer School 2021 Efficient

Learning 3D Dynamic Scene Representations for Robot Manipulation

Learning 3D Dynamic Scene Representations for Robot Manipulation

Website: https://dsr-net.cs.columbia.edu/ 3D scene

Hierarchical Reinforcement Learning for Multi-object Safe Robotic Manipulation | Research Demo

Hierarchical Reinforcement Learning for Multi-object Safe Robotic Manipulation | Research Demo

This video demonstrates our research on hierarchical reinforcement

GROOT: Learning Generalizable Manipulation Policies with Object-Centric 3D Representations

GROOT: Learning Generalizable Manipulation Policies with Object-Centric 3D Representations

CoRL 2023 spotlight video.

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method

Paper, supplementary material, code: https://alvinosaur.github.io/AboutMe/projects/opa/

DynamicVLA: Fast VLA for Dynamic Object Manipulation

DynamicVLA: Fast VLA for Dynamic Object Manipulation

In this AI Research Roundup episode, Alex discusses the paper: 'DynamicVLA: A Vision-Language-Action Model for

Prof. Dmitry Berenson - Autonomous Robotic Manipulation

Prof. Dmitry Berenson - Autonomous Robotic Manipulation

Prof. Berenson's research focuses on creating algorithms that allow

Stanford Webinar - Autonomous Robotic Manipulation: What’s Within Reach? Jeannette Bohg

Stanford Webinar - Autonomous Robotic Manipulation: What’s Within Reach? Jeannette Bohg

Stanford's

VCA:Vision-Click-Action framework for object centric manipulation

VCA:Vision-Click-Action framework for object centric manipulation

VCA:Vision-Click-Action framework for object centric manipulation

Amazon Releases Object-Centric Benchmark Dataset for Robotics Manipulation

Amazon Releases Object-Centric Benchmark Dataset for Robotics Manipulation

Amazon released ARMBench, a large-scale benchmark dataset for perception and

CoRL 2020, Spotlight Talk 35: Learning 3D Dynamic Scene Representations for Robot Manipulation

CoRL 2020, Spotlight Talk 35: Learning 3D Dynamic Scene Representations for Robot Manipulation

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OmniManip: Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints

OmniManip: Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints

This research proposes an

N. Giannakakis et al.: Object-Centric Action-Enhanced Representations for Robot Visuo-Motor Policy …

N. Giannakakis et al.: Object-Centric Action-Enhanced Representations for Robot Visuo-Motor Policy …

https://www.youtube.com/playlist?list=PLQL6z4JeTTQmodlMcLj5oqmxBh_BkLVMl — https://icdl2025.fel.cvut.cz — 2025 IEEE ...

(Talk) Dense Object Nets:  Learning Dense Visual Object Descriptors By and For Robotic Manipulation

(Talk) Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation

Oral Presentation at Conference on