Learning Target-Oriented Push-Grasping Synergy in Clutter With Action Space Decoupling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3204822
Abstract: We explore a method for grasping novel target objects through push-grasping synergy in a cluttered environment without using object detection and segmentation algorithms. The target information is represented by a color heightmap of the target… read more here.
Keywords: action space; action; push grasping; position ... See more keywords
PLOT: Human-Like Push-Grasping Synergy Learning in Clutter With One-Shot Target Recognition
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2024.3357084
Abstract: In unstructured environments, robotic grasping tasks are frequently required to interactively search for and retrieve specific objects from a cluttered workspace under the condition that only partial information about the target is available, like images,… read more here.
Keywords: push grasping; target recognition; image; target ... See more keywords
Efficient push-grasping for multiple target objects in clutter environments
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2023.1188468
Abstract: Intelligent manipulation of robots in an unstructured environment is an important application field of artificial intelligence, which means that robots must have the ability of autonomous cognition and decision-making. A typical example of this type… read more here.
Keywords: multiple target; efficient push; target objects; push grasping ... See more keywords