Linnea Järkstig

Jonas Ekströmer/TT

Valet 2022

Talmansvalet

Kontroverserna kring SD:s Julia Kronlid: Abortfrågan och evolutionsläran

Mer-redaktionen

Shutterstock

Innovation & framtid

Mattias Sävenstrand

Lannebo

Lannebo Partner

Manne Berggren Wiklund

Anders Wiklund/TT

Förhandlingarna

Staffan Dickson

Italienska valet

”Gud, familjen och fäderneslandet” – Meloni kan bli Italiens första kvinnliga premiärminister

Le peuple italien a décidé de reprendre son destin en main en élisant un gouvernement patriote et souverainiste.

B… https://t.co/Tt4CS5BsRw

MLP_officiel

Omni Mer låser upp en mängd artiklar. En smidig lösning när du vill fördjupa dig.

Gå förbi betalväggar!

Max Wahlund

Mats Karlsson

PDF: https://arxiv.org/pdf/2209.09391.pdf
Authors: Alexander Winkler, Jungdam Won, Yuting Ye
Published at SIGGRAPH Asia 2022

Abstract: 
Real-time tracking of human body motion is crucial for interactive and immersive experiences in AR/VR. However, very limited sensor data about the body is available from standalone wearable devices such as HMDs (Head Mounted Devices) or AR glasses. In this work, we present a reinforcement learning framework that takes in sparse signals from an HMD and two controllers, and simulates plausible and physically valid full body motions. Using high quality full body motion as dense supervision during training, a simple policy network can learn to output appropriate torques for the character to balance, walk, and jog, while closely following the input signals. Our results demonstrate surprisingly similar leg motions to ground truth without any observations of the lower body, even when the input is only the 6D transformations of the HMD. We also show that a single policy can be robust to diverse locomotion styles, different body sizes, and novel environments.

Tech

Lyreco Advantage Sweden

Lyreco Advantage Sweden Partner

Mozilla

Verónica Wiklöf

Fredrik Sandberg/TT

Svenska inflationen

Martin Lindstam

Ryska invasionen

Ryska reaktioner

Så kan Putins mobilisering förlänga kriget – blir en ”oangenäm” situation

Steve Gribben / AP

Nasas asteroiduppdrag

Watch as NASA’s DART Mission Attempts the World’s First-Ever Test of Planetary Defense
Description: Countdown to impact as NASA’s Double Asteroid Redirection Test (DART) attempts humanity’s first-ever test of planetary defense! The DART spacecraft will intentionally crash into asteroid Dimorphos at 7:14 p.m. ET on Monday, September 26, 2022 to see if kinetic force can change its orbit. Why? If this test is successful, the same technique could be used to deflect an Earth-threatening asteroid in the future, should one ever be discovered. 
 
DART’s target asteroid is NOT a threat to Earth before, during or after the impact event.

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