There are many artificial intelligence algorithms for autonomous driving, but directly installing these algorithms on vehicles is unrealistic and expensive. At the same time, many of these algorithms need an environment to train and optimize. Simulation is a valuable and meaningful solution with training and testing functions, and it can say that simulation is a critical link in the autonomous driving world. There are also many different applications or systems of simulation from companies or academies such as SVL and Carla. These simulators flaunt that they have the closest real-world simulation, but their environment objects, such as pedestrians and other vehicles around the agent-vehicle, are already fixed programmed. They can only move along the pre-setting trajectory, or random numbers determine their movements. What is the situation when all environmental objects are also installed by Artificial Intelligence, or their behaviors are like real people or natural reactions of other drivers? This problem is a blind spot for most of the simulation applications, or these applications cannot be easy to solve this problem. The Neurorobotics Platform from the TUM team of Prof. Alois Knoll has the idea about "Engines" and "Transceiver Functions" to solve the multi-agents problem. This report will start with a little research on the Neurorobotics Platform and analyze the potential and possibility of developing a new simulator to achieve the true real-world simulation goal. Then based on the NRP-Core Platform, this initial development aims to construct an initial demo experiment. The consist of this report starts with the basic knowledge of NRP-Core and its installation, then focus on the explanation of the necessary components for a simulation experiment, at last, about the details of constructions for the autonomous driving system, which is integrated object detection and autonomous control.

Artificial intelligence software combined with a robotic harness could help spinal injury and stroke patients walk again. Rehabilitation programs for spinal cord injuries or strokes usually have patients walk on treadmills at a steady pace while harnesses support their weight to varying degrees. In the new study, researchers sought to develop a system that better mimicked the conditions that people might experience during everyday life, where they would have to move in more than one direction and vary their gaits. "The idea is to provide the most appropriate environment for patients to be active during training," says study co-author Grégoire Courtine, a neuroscientist at the Swiss Federal Institute of Technology Lausanne. "The goal of this rehabilitation is to have patients repeat natural activities for an extended amount of time." The scientists developed a robotic harness that uses cables to control the amount of upward and forward force that patients feel while also permitting them to walk forwards, backwards, and side to side.