This paper describes the development of a miniature assembly cell for micro-electromechanical systems (MEMS). Potential applications of the developed assembly cell are assembly of miniature optical systems, integration of optoelectronics, such as laser diodes with CMOS, and epitaxial lift-off (ELO) of thin films used in optoelectronic devices. The cell utilizes a transparent electrostatic gripp...

Robotic grippers with visuotactile sensors have access to rich tactile information for grasping tasks but encounter difficulty in partially encompassing large objects sufficient grip force. While hierarchical gecko-inspired adhesives are a potential technique bridging performance gaps, they require contact area efficient usage. In this work, we present new version of an adaptive gecko gripper c...

Machine vision-based planar grasping detection is challenging due to uncertainty about object shape, pose, size, etc. Previous methods mostly focus on predicting discrete gripper configurations, and may miss some ground-truth grasp postures. In this article, a pixel-level method proposed, which uses deep neural network predict configurations RGB images. First, novel oriented arrow representatio...

Brain-machine interface (BMI) can be used to control the robotic arm to assist paralysis people for performing activities of daily living. However, it is still a complex task for the BMI users to control the process of objects grasping and lifting with the robotic arm. It is hard to achieve high efficiency and accuracy even after extensive trainings. One important reason is lacking of sufficien...

Commercially viable automated picking in unstructured environments by a robot arm remains difficult challenge. The problem of grasp planning has long been around but the existing solutions tend to be limited when it comes deploy them open-ended realistic scenarios. Practical systems are called for that can handle different properties objects manipulated, as well problems arising from occlusions...

Abstract Robotic vision plays a key role for perceiving the environment in grasping applications. However, conventional framed-based robotic vision, suffering from motion blur and low sampling rate, may not meet automation needs of evolving industrial requirements. This paper, first time, proposes an event-based framework multiple known unknown objects cluttered scene. With advantages microseco...

tested robots’ ability to perform an interactive task (hors d’oeuvres service) entertainingly and effectively in a dynamic, crowded environment. Effectiveness included safety, coverage of the reception area, recognition of humans, offering of hors d’oeuvres, and detection of need for refills; entertainment value was determined by popular vote. To fully exploit the talents of our team, drawn fro...

This abstract outlines current developments of a micro-assembly facility focusing on studies using a three fingered gripper. Individual fingers of the gripper comprise thin fibers ranging in diameter from 7 to 80 μm that are attached to quartz based oscillators and are capable of sensing proximity, contact, and controlling adhesion forces. To optimize gripper finger performance, an electrolytic...

Factory automation robot systems often depend on specially-made jigs that precisely position each part, which increases the system's cost and limits flexibility. We propose a method to determine 3D pose of an object with high precision confidence, using only parallel robotic grippers no parts-specific jigs. Our automatically generates sequence actions ensures real-world physical matches assumed...