首页|FANUC America Corporation Researcher Targets Robotics (Robot Grasp Planning: A Learning from Demonstration-Based Approach)
FANUC America Corporation Researcher Targets Robotics (Robot Grasp Planning: A Learning from Demonstration-Based Approach)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Mdpi
Research findings on robotics are discussed in a new report. According to news originating from Union City, California, by NewsRx correspondents, research stated, “Robot grasping constitutes an essential capability in fulfilling the complexities of advanced industrial operations.” The news reporters obtained a quote from the research from FANUC America Corporation: “This field has been extensively investigated to address a range of practical applications. However, the generation of a stable grasp remains challenging, principally due to the constraints imposed by object geometries and the diverse objectives of the tasks. In this work, we propose a novel learning from demonstration-based graspplanning framework. This framework is designed to extract crucial human grasp skills, namely the contact region and approach direction, from a single demonstration. Then, it formulates an optimization problem that integrates the extracted skills to generate a stable grasp. Distinct from conventional methods that rely on learning implicit synergies through human demonstration or on mapping the dissimilar kinematics between human hands and robot grippers, our approach focuses on learning the intuitive human intent that involves the potential contact regions and the grasping approach direction.”
FANUC America CorporationUnion CityCaliforniaUnited StatesNorth and Central AmericaBusinessEmerging TechnologiesMachine LearningRobotRobotics
NETL
NSTL
Mdpi
