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July 2019

Boston Dynamics Enters Warehouse Robots Market, Acquires Kinema Systems

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

TECHNICAL GUEST POST: Object selection and detection (IK4-TEKNIKER)

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

Sensor-packed glove learns signatures of the human grasp (ABSTRACT)

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.

Project milestone: human-robot collaboration experiments

When are operators annoyed by the presence of a collaborative robot? When do they consider the robot as an effective collaborator? These questions are fundamental in a human-robot collaboration scenario. Task 1.2 of the PICK-PLACE project analyzes the role of motion-planner behavior on the operator’s feelings. An experimental campaign has been used to understand how humans are affected in their jobs by the presence of a robot. The results have been …Read More