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05/25/2023
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration
This paper proposes a learning-from-demonstration method using probabili...
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05/11/2023
Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics
Robotic grasping is an essential and fundamental task and has been studi...
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03/23/2023
Marching-Primitives: Shape Abstraction from Signed Distance Function
Representing complex objects with basic geometric primitives has long be...
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03/28/2022
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference
3D shape abstraction has drawn great interest over the years. Apart from...
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11/29/2021
Robust and Accurate Superquadric Recovery: a Probabilistic Approach
Interpreting objects with basic geometric primitives has long been studi...
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03/28/2021
