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Recent #navigation news in the semiconductor industry

electronicsforu
6 months ago

Training Drones For Safe Navigation

➀ MIT engineers have developed a training method for multiagent systems that ensures safe operation in crowded environments. This method can automatically scale to larger groups by training a few agents.

➁ In real-world tests, small drones successfully switched positions midflight and landed on moving vehicles. Simulations confirmed that the same training, applied to a few drones, could be extended to thousands.

➂ The method introduces GCBF+, a new approach for ensuring safe navigation in multiagent systems. It simplifies the computation of safety zones by considering an agent’s sensing radius and using simulations to guide agents while maintaining safety.

DroneMITnavigation
electronicsweekly
8 months ago

Prototype photonic chip uses exotic quantum states of squeezed light

➀ BBN Technologies is developing a prototype photonic chip using exotic quantum states of 'squeezed light' as part of DARPA's INSPIRED program; ➁ The chip requires detection sensitivity 16 dB below the fundamental 'shot noise' limit, surpassing conventional sensors; ➂ The technology aims to provide users with environmental data with greater than ten times the precision of current sensors, with potential applications in LiDAR, fiber-based sensing, biosensing, and more.
DARPALidarPhotonicsQuantum Technologynavigation
electronicsforu
8 months ago

“The Robot’s Top Is Open, Serving As A Blank Canvas For Users” – SriKrishna, Developer And Founder, SeiAnmai Technologies

➀ SeiAnmai Technologies' TOTO robot, a telepresence platform developed in collaboration with IIT Delhi, allows users to remotely control and interact with environments. ➁ The robot is designed for teleoperation and tele-observance, aiming to replicate the experience of physical presence. ➂ The research edition of the robot is open-source, accessible for customization and modification.
CollaborationLidarLinuxbatteryeducationnavigationopen sourcerobotics
electronicsweekly
11 months ago

Navigating without GPS

➀ Researchers at Sandia National Laboratories have utilized silicon photonics for atom interferometry, a quantum sensing technique that measures acceleration with high precision, potentially enabling a quantum compass for navigation without GPS. ➁ The team has made significant strides in miniaturizing the atom interferometer, reducing its size, weight, and power requirements, and improving the performance of the modulators used in the laser system. ➂ The advancements in silicon photonics could lead to cost-effective mass production of quantum inertial measurement units, opening up new applications in navigation, underground resource detection, and other fields.
Quantum SensingSilicon Photonicsnavigation
hackster
11 months ago

Laser-Focused GPS Replacement

➀ GPS reliance issues highlighted, including signal blockage and intentional interference. ➁ Quantum inertial measurement units proposed as a solution, though currently impractical due to size and cost. ➂ Sandia National Laboratories developing compact atom interferometers using Photonic Integrated Circuits (PICs). ➃ PICs enhance system compactness, durability, and resistance to vibrations and shocks. ➄ Silicon photonic modulators developed to control light and reduce sidebands, improving system performance.
GPSnavigationtechnology
hothardware
12 months ago

Apple Maps Navigates To Web Browsers As Competition With Google Revs Up

1. Apple Maps has launched a public beta on web browsers, supported by Safari, Edge, and Chrome. 2. The move positions Apple Maps in direct competition with Google Maps, especially as Apple prepares to release its AI technology. 3. Apple Maps currently offers features like driving and walking directions, place information, and ordering food, with more features planned for the future.
Apple MapsGoogle Mapsnavigation
electronicsforu
about 1 year ago

Can Large Language Models Help Robots To Navigate?

1. Researchers from MIT and MIT-IBM Watson AI Lab have developed a new navigation method for robots that translates visual inputs into text descriptions. 2. This method uses a large language model to process these descriptions and guide the robot through multistep tasks. 3. The language-based approach offers advantages such as efficient synthetic data generation and versatility across different tasks, though it does not outperform vision-based methods.
Large Language Modelsnavigationrobots