Interesting Engineering on MSN
AI-trained quadruped robot walks rough, low-friction terrain without human input
A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, ...
AZoRobotics on MSN
How AI simulated the evolution of eyes and brains
This study from MIT explores eye evolution through AI simulations, uncovering how different tasks shape visual systems and their neural processing requirements.
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Abstract: An effective energy management strategy (EMS) is crucial to improve the energy efficiency of hybrid vehicles, especially for heavy-duty mining trucks. An energy management strategy based on ...
This project presents a comprehensive overview of building a simulation environment in Unity and applying the Proximal Policy Optimization (PPO) algorithm from Unity’s built-in ML-Agents toolkit. We ...
AliceeUL/Improving-Proximal-Policy-Optimization-for-Goal-reaching-Simulation-in-Unity-with-ML-Agents
Goal-reaching simulation in Unity by combining to use ML-Agents toolkit and Anaconda involves training an agent to navigate and interact with environments to reach predefined goal target. This task ...
The US Naval Research Laboratory (NRL) has announced the successful test of reinforcement-learning (RL)-based autonomous robotic flight in space, using an ‘Astrobee’ zero-gravity robot stationed ...
School of Mechatronics and Automotive Engineering, Puyang Vocational and Technical College, Puyang, China Introduction: Parallel hybrid vehicles face challenges in real-time torque distribution, ...
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