Analysis and Observations from the First Amazon Picking Challenge
University of Colorado at Boulder（科罗拉多大学博尔德分校）；Rutgers University（罗格斯大学）；University of Michigan（密歇根大学）；Technische Universität Berlin（柏林工业大学）；Nanyang Technological University（南洋理工大学）；Duke University（杜克大学）；the University of Tokyo（东京大学）；MIT（麻省理工学院）；Kiva Systems
Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson, Oliver Brock, Albert Causo, Kris Hauser, Kei Okada, Alberto Rodriguez, Joseph M. Romano, Peter R. Wurman
This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams. The challenge goal was to design an autonomous robot to pick items from a warehouse shelf. This task is currently performed by human workers, and there is hope that robots can someday help increase efficiency and throughput while lowering cost. We report on a 28-question survey posed to the teams to learn about each team's background, mechanism design, perception apparatus, planning and control approach. We identify trends in this data, correlate it with each team's success in the competition, and discuss observations and lessons learned based on survey results and the authors' personal experiences during the challenge.
The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research
Australian Centre for Robotic Vision（澳大利亚机器人视觉中心）；Queensland University of Technology（昆士兰科技大学）；Amazon Robotics LLC（亚马逊机器人有限责任公司）；University of Adelaide（阿德莱德大学）
Motion Generation for Food Topping Challenge 2024: Serving Salmon Roe Bowl and Picking Fried Chicken
Intelligent and Mechanical Interaction Systems, Degree Programs in Systems and Information and Engineering, Graduate School of Science and Technology, University of Tsukuba, Japan（大学技术科学研究生院系统与信息工程系统与机械交互系统系，大学）
An adaptive experience-based discrete genetic algorithm for multi-trip picking robot task scheduling in smart orchards
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450007, China（电气与信息工程学院，郑州大学）；School of Electrical Engineering and Automation, Henan Institute of Technology, Xinxiang 453003, China（电气工程与自动化学院，河南理工大学）；School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia（工程学院，皇家墨尔本理工大学）；Longmen Laboratory, Luoyang 471000, China（洛阳长门实验室）；KINDI Center for Computing Research, College of Engineering, Qatar University, Doha, Qatar（计算研究KINDI中心，工程学院，卡塔尔大学）；Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada（电气与计算机工程系，阿尔伯塔大学）；Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland（波兰科学院系统研究所）
Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning
AMA University（AMA大学）；University of the People（人民大学）；University of Texas at Austin（德克萨斯大学奥斯汀分校）；Disney entertainment and sports LLC（迪士尼娱乐体育有限责任公司）；University of Toronto（多伦多大学）；Northwestern University（西北大学）；Northern Arizona University（北亚利桑那大学）
Mechanical Design of a Cartesian Manipulator for Warehouse Pick and Place
Australian Centre for Robotic Vision (ACRV)（澳大利亚机器人视觉中心（ACRV））；Queensland University of Technology (QUT)（昆士兰科技大学（QUT））；University of Adelaide（阿德莱德大学）；Australian National University (ANU)（澳大利亚国立大学（ANU））
GS-NBV: a Geometry-based, Semantics-aware Viewpoint Planning Algorithm for Avocado Harvesting under Occlusions
Autonomous Robots and Control Systems Lab, University of California, Riverside（加州大学河滨分校自主机器人与控制系统实验室）；Perception, Robotics, AI, Sensing Lab, University of Colorado, Boulder（科罗拉多大学博尔德分校感知、机器人、人工智能与传感实验室）
Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge
OMRON SINIC X Corp.（欧姆龙 SINIC X 公司）；University of Southern Denmark（南丹麦大学）；Technical University Berlin（柏林工业大学）；University of Colorado Boulder（科罗拉多大学博尔德分校）；Robotic Materials Inc.（机器人材料公司）；Osaka University（大阪大学）；Kanazawa University（金泽大学）
Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools
OMRON SINIC X Corp.（欧姆龙SINIC X公司）；OMRON Corp.（欧姆龙公司）；Osaka University（大阪大学）；SenseTime Japan Ltd.（商汤日本有限公司）；National Inst. of Advanced Industrial Science and Technology (AIST)（国立先进工业科学技术研究所（AIST））；Laboro.AI Inc.（Laboro.AI公司）
