A Robust Pose Estimation Method for Robot Grasping in Bin‐Picking Scenarios Using Point Cloud
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Field Robotics"
DOI: 10.1002/rob.22571
Abstract: Industrial robot grasping in bin‐picking scenarios is challenging. This is mainly due to the need for robots to extract individual parts and find suitable grasping poses accurately and efficiently. This paper addresses this challenge by… read more here.
Keywords: robot grasping; picking scenarios; bin picking; grasping bin ... See more keywords
The impact of hand parameter optimization on industrial bin picking
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Robotics"
DOI: 10.1080/01691864.2024.2416015
Abstract: ABSTRACT This study focuses on the opening width of parallel grippers in bin picking and proposes a method to optimize this width based on the evaluation of graspability in distance images. The method relies on… read more here.
Keywords: industrial bin; bin picking; hand; impact hand ... See more keywords
Fast Object Pose Estimation Using Adaptive Threshold for Bin-Picking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2983173
Abstract: Robotic bin-picking is a common process in modern manufacturing, logistics, and warehousing that aims to pick-up known or unknown objects with random poses out of a bin by using a robot-camera system. Rapid and accurate… read more here.
Keywords: adaptive threshold; object pose; pose estimation; bin picking ... See more keywords
A Bin-Picking Benchmark for Systematic Evaluation of Robotic Pick-and-Place Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2965076
Abstract: Pick-and-place operations constitute the majority of today's industrial robotic applications. However, comparability and reproducibility of results has remained an issue that delays further advances in this field. Evaluation of manipulation systems can be carried out… read more here.
Keywords: evaluation; benchmark; pick place; place ... See more keywords
A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3149026
Abstract: We present a generic and robust sim-to-real deep-learning-based framework, namely S2R-Pick, for fast and accurate object recognition and localization in industrial robotic bin picking. Unlike existing works designed for general everyday environments, objects for industrial… read more here.
Keywords: bin picking; localization; framework; object recognition ... See more keywords
CoAS-Net: Context-Aware Suction Network With a Large-Scale Domain Randomized Synthetic Dataset
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3337692
Abstract: Robotic grasping is one of the essential skills in robotics. From industrial to housework, robots are required to handle objects, enabling them to interact with their surroundings. Among the various tasks in robotic grasping, bin-picking… read more here.
Keywords: bin; bin picking; context aware; network ... See more keywords
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2023.3328964
Abstract: Grasping unknown objects in unstructured environments is one of the most challenging and demanding tasks for robotic bin picking systems. Developing a holistic approach is crucial to building such dexterous bin picking systems to meet… read more here.
Keywords: detection; bin; bin picking; relationship ... See more keywords
Advances in industrial bin picking through sim-to-real transfer and cycle optimization
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/17298806251374367
Abstract: This work presents a novel method for addressing the bin picking problem with two significant contributions. First, we propose a specialized generator for synthetic labelled data tailored for bin picking applications. This synthetic data facilitates… read more here.
Keywords: industrial bin; picking sim; bin; bin picking ... See more keywords
Using Simulation to Evaluate a Tube Perception Algorithm for Bin Picking
Sign Up to like & getrecommendations! Published in 2022 at "Robotics"
DOI: 10.3390/robotics11020046
Abstract: Bin picking is a challenging problem that involves using a robotic manipulator to remove, one-by-one, a set of objects randomly stacked in a container. In order to provide ground truth data for evaluating heuristic or… read more here.
Keywords: using simulation; bin picking; simulation; tube ... See more keywords