Source: Robotics Business Review / by Phil Britt Robotics a key showcase for company’s new display of supply chain and logistics-related technologies. DHL opened its Americas Innovation Center in northwest suburban Chicago Thursday, complete with demonstration robots, conference areas, smart glass displays (for human bin picking) and other amenities to demonstrate to customers the company’s capabilities in the warehouse, logistics and other areas of the supply chain.
Tag Archives: robotics
Source: Supply Chain Quarterly Applications led by material handling, assembly, and pick & place, Interact Analysis says. Vendors shipped more than 19,000 collaborative robots—or cobots—in 2018 as they generated a faster increase in global revenue than any other sector of the robotics industry, led by applications in material handling, assembly, and pick & place, a new study shows. In 2018, global revenues from cobot production exceeded $550 million, almost a …Read More
Source: Science Direct Authors: EvaWiese, Patrick P.Weis Highlights Evidence for categorical perception for human as well as nonhuman agent spectra. Cognitive conflict maxima located around category boundaries for human and nonhuman agent spectra. Enhanced cognitive conflict processing for the human as opposed to nonhuman agent spectra category boundaries. Category boundary shift stronger for human than nonhuman agent spectra. Categorical perception quantitatively, not qualitatively different in human agent spectra. Abstract Humanlike but …Read More
Source: Modern Materials Handling / by Gary Forger Cold chain is heating up. No, freezer and refrigerated warehouses aren’t getting any warmer. But, there sure is steadily increasing demand for their inhospitable temperatures. And, it’s true for food as well as pharmaceuticals. “The cold storage sector and broader food industry continue to evolve nationally due to a variety of factors including changing consumer dietary and delivery preferences and growth in the …Read More
Source: Supply Chain Dive / by Matt Leonard Dive Brief: About 32% of supply chain professionals say they are actively using robotics and automation, according to this year’s MHI Annual Industry Report. This number has gone relatively unchanged since 2016 when 35% of respondents said they were actively using robotics and automation, but anecdotal evidence and market value forecasts show warehouse robotics growing as companies seek labor savings at a time …Read More
Source: The International Journal of Robotics Research Authors: Yongqiang Huang, Yu Sun Publication: First published May 13, 2019 Robots that succeed in factories may struggle to complete even the simplest daily task that humans take for granted, because the change of environment makes the task exceedingly difficult. Aiming to teach robots to perform daily interactive manipulation in a changing environment using human demonstrations, we collected our own data of interactive …Read More
Source: The International Journal of Robotics Research Authors: Mohamad Javad Aein, Eren Erdal Aksoy, Florentin Wörgötter Publication: First published May 29, 2019 When a robot has to imitate an observed action sequence, it must first understand the inherent characteristic features of the individual actions. Such features need to reflect the semantics of the action with a high degree of invariance between different demonstrations of the same action. At the same …Read More
Source: Spectrum IEEE / by Erico Guizzo The company, famous for agile machines like Atlas and Spot, wants to unleash robots in the warehouse If you haven’t seen the latest Boston Dynamics video, released last week, it shows an upgraded version of the company’s Handle robot moving boxes in a warehouse. Handle is a mobile manipulator that integrates both legs and wheels, and the new version features a swinging “tail” that serves as a …Read More
Which approach are you using for object selection and detection within the PICK-PLACE project? Due to the large number of references that the system needs to be able to cope with, we are using a deep learning based approach for object identification, segmentation and grasping point selection. There are different steps involved in order to generate a deep learning model. First, a dataset with images of different objects needs to …Read More
Source: Science Daily Wearing a sensor-packed glove while handling a variety of objects, MIT researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone. The information could be leveraged to help robots identify and manipulate objects, and may aid in prosthetics design.