AZoRobotics on MSN

Simulation-Only Training Enables Quadruped Robots to Master Real-World Terrain

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...
Geeky Gadgets

How Reinforcement Learning Is Making Robots Smarter and More Agile

What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...
Hosted on MSN

Legged robots skateboard successfully with reinforcement learning framework

Legged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for instance delivering parcels or monitoring specific environments. In recent ...
EurekAlert!

Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...
techtimes

Robot Cassie Masters Dynamic Movements Through Reinforcement Learning

Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...
EurekAlert!

A graph reinforcement learning framework for real-time distributed multi-robot task allocation

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...
TweakTown

Figure's robots now walk a little less like C-3PO, thanks to reinforcement learning

TL;DR: FigureAI has developed an AI-powered walking controller for its Figure 02 humanoid robot, enhancing its movement to be more human-like with features such as heel strikes and synchronized arm ...