Universal Manipulation Policy Network for Articulated Objects

Author:

Xu Zhenjia1ORCID,He Zhanpeng1,Song Shuran1ORCID

Affiliation:

1. Columbia University, New York, NY, USA

Funder

National Science Foundation

Amazon Research Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference30 articles.

1. Learning to poke by poking: Experiential learning of intuitive physics;agrawal;Proc 30th Int Conf Neural Inf Process Syst,0

2. Service Robots: A Unified Framework for Detecting, Opening and Navigating Through Doors

3. Opening a door with a humanoid robot using multi-sensory tactile feedback

4. Utilizing compliance to manipulate doors with unmodeled constraints

5. Act the part: Learning interaction strategies for articulated object part discovery;gadre;Proc Int Conf Comput Vis,0

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1. Learning to Catch Reactive Objects with a Behavior Predictor;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. SKT-Hang: Hanging Everyday Objects via Object-Agnostic Semantic Keypoint Trajectory Generation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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