Concentrated logistics power without the waffle – at the virtual Future of Intralogistics Days 2022 conference on March 9th and 10th, 18 famous companies will be presenting the latest intralogistics technologies. The free event is aimed at experienced intralogistics experts in the B2B sector.
Concentrated logistics power without the waffle – at the virtual Future of Intralogistics Days 2022 conference on March 9th and 10th, 18 famous companies will be presenting the latest intralogistics technologies. The free event is aimed at experienced intralogistics experts in the B2B sector.
Designed for use in the human body for everything from drug delivery to less-invasive biopsies, these tiny microrobots operate under the control of a deep-learning system trained with no modelling or prior environmental knowledge.
Taking its cues from the haunting electronic instrument, the MoCapaci project sews a theremin into a blazer to feed a deep-learning system with data for accurate gesture sensing and activity recognition.
This article is a practical PLC programming guide covering the five IEC 61131-3 languages, the scan cycle that governs how your code actually runs, ladder and structured text examples, and the mistakes that cost engineers the most commissioning time.
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embedded world North America is the premier trade show and conference dedicated to the community of innovators and developers in the embedded tech ecosystem.
How Embedded Systems, AI, and Human-Centered Design Are Driving the Future of Robotics
Learn why teams still lose half their development time to test and fix, and what changes when you get real visibility into the target.
Mario Mauerer, maxon's Global Business Development Manager, Robotics, discusses what it takes for robotic deployments to be successful in complex real-world environments.
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
'Link-bots' can move, explore, cooperate without sensing or computation
This article is part 4 of a 4-part article series on TDK's advanced robotics.
Concentrated logistics power without the waffle – at the virtual Future of Intralogistics Days 2022 conference on March 9th and 10th, 18 famous companies will be presenting the latest intralogistics technologies. The free event is aimed at experienced intralogistics experts in the B2B sector.
Designed for use in the human body for everything from drug delivery to less-invasive biopsies, these tiny microrobots operate under the control of a deep-learning system trained with no modelling or prior environmental knowledge.
Taking its cues from the haunting electronic instrument, the MoCapaci project sews a theremin into a blazer to feed a deep-learning system with data for accurate gesture sensing and activity recognition.
Over the last decade, deep neural networks have emerged as the solution to several AI complex applications from speech recognition and object detection to autonomous vehicular systems.
The IoT is a key solution for supply chain problems because it forms a global network of connected devices that can monitor and track any cargo.
4 minutes read
Designed to address the risk to front-line staff from COVID-19, this autonomous swab-sampling robot is designed to take the human element out of sample gathering.
Critical asset monitoring tools are designed to perform real-time analysis of the current status of critical assets. With the help of a digital twin, it is possible to perform anomaly detection for said assets. Read more about it in this article.
5 minutes read
Using a now public-access dataset, a research team has created a robotics control system which can generalize to unseen related tasks — allowing robots to interpret natural-language commands and video demonstrations.
Attention: Don’t presume human or model-generated labels to be the growth truth for machine learning deployment in autonomous vehicular systems.
The proposed AI system has an accuracy between 70% and 80% that can be employed as a second referral mechanism for cardiovascular examination.
With research suggesting feral pigeons do as much as $1.1 billion in damage in the US alone, a project which pairs a commercial drone with machine learning to scare them away — without injury — could prove key to their control.
The CyberSpec framework is designed to detect anomalous behavior linked to cyber-attacks against crowd-sensing spectrum sensors, even when said sensors are running on lightweight resource-constrained hardware like a Raspberry Pi.
By reconfiguring neural networks in artificial intelligence (AI) devices, a multi-institute team that included Penn State researchers facilitated AI systems to continually learn and adapt new data and tasks in ways that were not possible or practical before.
4 minutes read
ML can be deployed on Embedded Sensors to unleash the full power of Industry 4.0.
Developed at Google Research, HyperTransformer decouples the task space and individual task complexity to generate all model weights in just one pass — while also offering support for unlabeled sample ingestion.
