Search Results for author: David J. Cappelleri

Found 2 papers, 2 papers with code

Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark

1 code implementation25 May 2023 Juncheng Li, David J. Cappelleri

This paper presents Sim-Suction, a robust object-aware suction grasp policy for mobile manipulation platforms with dynamic camera viewpoints, designed to pick up unknown objects from cluttered environments.

Physical Simulations

Sim-MEES: Modular End-Effector System Grasping Dataset for Mobile Manipulators in Cluttered Environments

1 code implementation17 May 2023 Juncheng Li, David J. Cappelleri

Our dataset generation process combines analytic models and dynamic simulations of the entire cluttered environment to provide accurate grasp labels.

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